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gl-accounts: GET /api/gl-accounts/:id

get_gl_accounts_by_id_ee71c0a64b4bb092d92306ca
Read-onlyIdempotent

GET /api/gl-accounts/:id. GET /api/gl-accounts/:id. Operation ID: ee71c0a64b4bb092d92306ca; describe_operation provides native request schemas.

Input Schema

NameRequiredDescriptionDefault
queryNo
paramsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description contributes nothing additional about behavior, errors (e.g. 404 for unknown id), or what the fetched record contains.

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

Conciseness2/5

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

The first sentence is duplicated verbatim, which is pure waste, and the remaining content is an operation ID plus a redirect to another tool rather than front-loaded explanation of purpose.

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

Completeness1/5

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

With no output schema, no parameter documentation, and no annotation-adjacent detail added, the definition leaves an agent unable to know what a GL account record contains or how to construct the id. Nothing beyond the raw path is communicated.

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

Parameters1/5

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

Schema description coverage is 0% across two parameters, including a free-form 'query' object and a required 'id'. The description supplies no meaning for either, leaving the free-form query object completely unexplained.

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

Purpose2/5

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

The description only repeats the endpoint path 'GET /api/gl-accounts/:id' twice and the operation ID, which is essentially a restatement of the title. An agent can infer it fetches a single GL account by id, but there is no verb-level explanation of what is returned and no differentiation from siblings like get_gl_accounts or get_gl_accounts_assignments.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus get_gl_accounts (list) or get_gl_accounts_assignments. The only pointer is 'describe_operation provides native request schemas', which is a meta-hint about schema discovery, not a selection criterion.

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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