Leon S KennedyIndependent FDE Engineer

Service 03 · MCP & agent reliability

MCP and AI agent
reliability review.

Find where an agent loses tool state, hides a failure or leaves the next owner without a usable result.

Discuss a reliability review Compare services

When it helps

Start from the
work, not the tool.

A good answer is only part of the workflow. When an MCP reconnect empties a tool catalog or a failed write looks successful, the business process stalls even if the conversation looks fine.

What to bring

  • One reproducible problem or representative failure trace
  • The relevant integration boundary and permitted environment
  • Expected behavior, observed behavior and known access limits

Begin with redacted examples. Do not share credentials or confidential customer data through this website.

What you receive

Artifacts your team
can actually use.

The final deliverables and acceptance checks are written into the scope before work begins.

  1. 01

    Failure reproduction

    A repeatable example where possible, or a clearly documented evidence gap.

  2. 02

    Boundary review

    Tool discovery, state, retries, permissions and handoffs relevant to the problem.

  3. 03

    Fix & evaluation plan

    A scoped implementation recommendation and checks for success and regression.

  4. 04

    Operational guidance

    How to surface the failure, route exceptions and recover without hiding uncertainty.

Illustrative scope

What this could
look like.

For an MCP discovery issue, the review might compare a healthy session with a reconnect, record which catalog events occur and check how a client handles an empty discovery result. The public engineering notes show related examples of this kind of work.

This is a scoping example, not an additional client project or a promise about your systems.

Scope & next step

A clear boundary
helps everyone.

A reliability review distinguishes a code defect from access restrictions, unclear ownership and tool limitations. A specific fix or ongoing support is quoted only after the scope is clear.

Fees, dates, deliverable ownership, tool licenses and allowed system operations are agreed before starting. Third-party costs are identified separately.

Read the public engineering evidence

Before commissioning

Questions about this scope

What should we share for a reliability review?

Describe one observed failure, the expected result and the tools involved. Include versions and redacted error evidence if available. Leave tokens and confidential customer data out of the inquiry.

Can a successful tool call still fail the workflow?

Yes. A completed request can contain an application-level error, or the destination result can remain unknown after a lost response. The review checks the tool result and destination evidence separately.

What does the review deliver?

A scoped reproduction, observed findings and a fix or recovery plan within the agreed boundary. The result may be a code change, a permission correction or an unresolved evidence gap. A review is not a guarantee of uptime or protocol certification.

Practical guide

MCP integration reliability checklist for business workflows

Access and ownership

Prepare the permissions and handover

Agree what the consultant can access, who operates the workflow and how access ends before expanding a pilot.

What access should an AI consultant need to connect business tools? Who owns an AI workflow after the pilot?

Start with the work

Tell me where the workflow gets stuck.

A short description of the task and its tools is enough to begin. We can clarify the next decision by email or an agreed call.

Prepare a project brief

No obligation. Fees and dates are agreed before paid work begins.