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douglaslinsmeyer

pension-pro-mcp

get_api_schema

Retrieve the definition of a specific API data model or schema. Get a compact summary by default, or the full JSON schema by setting raw to true.

Instructions

Get the definition of a specific API data model/schema. Returns a compact summary by default. Set raw=true for the full JSON schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
rawNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains default behavior (compact summary) and the effect of raw=true. Lacks details on error cases or prerequisites, but the simple retrieval nature makes the description sufficient.

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

Conciseness5/5

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

Two sentences, no fluff. All information is relevant and front-loaded. Every sentence adds value.

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

Completeness4/5

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

Low complexity tool with 2 params and output schema. Description covers main functionality and customization. Missing details on what the compact summary includes vs full schema, but overall adequate.

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?

Schema description coverage is 0%, but description adds meaning: explains the raw parameter goal and implies name is the identifier. Compensates well for missing schema descriptions.

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

Purpose5/5

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

Clearly states the action (get definition), the resource (specific API data model/schema), and distinguishes from siblings like get_api_endpoint and search_api_schemas by specifying it returns definitions. Also mentions output options (compact vs raw).

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?

No explicit guidance on when to use this vs alternatives. The description explains the two modes but does not indicate situations where other tools like search_api_schemas might be preferable. Sibling context suggests room for improvement.

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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