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Get runnable example calls

benefits_examples
Read-only

Use to copy a working example call instead of guessing tool arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
examplesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it does not say whether the examples are scoped to a tool, returned as a list, or whether the output is static or live. With annotations carrying the safety burden, the marginal behavioral content is near zero.

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?

A single short sentence, front-loaded with the subject. It wastes no words, though the phrasing 'Use to copy...' is slightly informal and the sentence could have carried more routing information at no length 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?

With no parameters, an output schema present, and annotations covering safety, the structured data carries most of the load, so the description is close to sufficient. What it still leaves open is the key routing question among five siblings: when an agent should call this instead of benefits_api_docs. That gap keeps it at minimum viable.

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?

There are zero parameters, so per the rubric the baseline is 4 and there is nothing for the description to compensate for. The description's implicit warning against guessing arguments does not need to document parameters that do not exist.

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

Purpose3/5

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

The name and title both signal a retrieval of runnable examples, and the description states the intent (copy a working example call). But the verb is soft ('use to') and the description never says what is being fetched or from where, nor does it distinguish itself from the sibling benefits_api_docs, which an agent might reasonably pick instead.

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?

It implies a situation (when you don't want to guess arguments), which is a mild use cue, but it gives no when-not guidance and never references benefits_api_docs, the obvious alternative sibling. The agent gets no rule for choosing between this and the docs tool.

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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