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submit_diagnostics

Runs the same health check as run_diagnostics and sends the result to the LMCP team so they can look into a...

Instructions

Runs the same health check as run_diagnostics and sends the result to the LMCP team so they can look into a...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.0.421

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It does disclose a meaningful behavioral trait beyond the name: results are transmitted to the LMCP team, which signals an external data-sharing side effect. However, it says nothing about what exactly is sent, whether the user is notified, or whether consent/auth is required, and the trailing ellipsis leaves the behavior half-described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loads the core action, which is good. But the text is truncated mid-sentence ('look into a...'), so the second half of the intended message is lost rather than deliberately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with no output schema and no annotations, the description should at minimum be complete. It conveys the two key facts (runs the health check, sends results to the team) but is truncated and omits what happens next, what is transmitted, or what the agent gets back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters (empty object schema), so there is nothing for the description to disambiguate. Baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('health check') and explicitly relates itself to a sibling, run_diagnostics, by name. An agent can see this is run_diagnostics plus a report to the LMCP team. The sentence is cut off, so the full scope isn't stated, but the core action is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The mention that it 'runs the same health check as run_diagnostics' implies the alternative for a purely local check, but the description never states when to use this over run_diagnostics or what triggers sending a report. Usage is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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