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ryanmat

io.github.ryanmat/logicmonitor

by ryanmat

get_api_token

Read-onlyIdempotent

Get details about a specific API token

Instructions

Get details about a specific API token

Input Schema

NameRequiredDescriptionDefault
admin_idNoOwning user ID (optional; looked up when omitted)
token_idYesAPI token ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv4.2.1
    • addedInput schema / properties / admin_id
      Added value: +{
      +  "description": "Owning user ID (optional; looked up when omitted)",
      +  "type": "integer"
      +}
  2. First observedv4.2.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint. The description adds nothing beyond them — notably it doesn't say whether the token secret/value is returned, how it's masked, or what authorization is needed to view another user's token. Given the sensitivity of credential data, this is a real gap.

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

Conciseness4/5

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

One short, front-loaded sentence with no filler. It is efficient but arguably under-specified rather than optimally concise — there is room to add routing and return-value context at little cost.

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?

A simple two-parameter read tool with full schema coverage and annotations, so the description is minimally adequate. Missing is any indication of what 'details' means for a credential object — whether the secret is exposed — which matters for an agent deciding whether to call it.

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

Parameters3/5

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

Schema coverage is 100%, with clear descriptions for token_id and admin_id (including the fallback lookup behavior), so the schema carries the load. The description adds no parameter-level meaning beyond that, which matches the baseline 3 for well-documented schemas.

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?

Specific verb ('Get') plus specific resource ('details about a specific API token') with singular scope. However, it never names or contrasts with the sibling get_api_tokens, so the singular/plural distinction relies on the reader noticing the name difference.

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 phrase 'a specific API token' implicitly signals single-token retrieval versus a listing tool, but there is no explicit when-to-use, when-not-to-use, or named alternative. Usage must be inferred from the name and sibling set.

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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