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gl-accounts: GET /api/gl-accounts

get_gl_accounts_4672f2f496fa77a3254a35c3
Read-onlyIdempotent

GET /api/gl-accounts. GET /api/gl-accounts. Operation ID: 4672f2f496fa77a3254a35c3; describe_operation provides native request schemas.

Input Schema

NameRequiredDescriptionDefault
queryNo
paramsNo

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=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds nothing behavioral beyond the describe_operation pointer — no filtering behavior, no pagination, no result shape for what is presumably a collection endpoint.

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 text is short but wastes its limited space: "GET /api/gl-accounts" is duplicated verbatim, and an opaque hex operation ID is presented without explaining what the agent should do with it. Front-loading a real purpose statement would have cost the same characters.

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 0% schema coverage, nested free-form parameters, no output schema, and no annotations explaining return behavior, the description is the only place an agent could learn how to call this tool — and it provides nothing. An agent cannot correctly invoke this endpoint based on the definition as written.

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% and the two parameters (query, params) are undocumented free-form objects with additionalProperties. The description supplies no parameter meaning at all, leaving the agent no way to know what to put in query versus params for this endpoint.

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 says "GET /api/gl-accounts", which is a verb+resource but is an exact restatement of the tool name and title rather than an explanation of what the tool does or returns. It gives no clue whether this lists GL accounts, returns a chart of accounts, or is paginated, and it does not distinguish this tool from siblings like get_gl_accounts_by_id or get_gl_accounts_charts.

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?

The only actionable instruction is that "describe_operation provides native request schemas", which points at a prerequisite step but never says when to choose this tool over the many sibling GL/accounting endpoints. There is no when-to-use, when-not-to-use, or alternative routing information.

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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