Skip to main content
Glama

UsageMax public observability

Ask UsageMax documentation

ask_site
Read-only

Ask a bounded natural-language question about UsageMax and receive cited public resources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover read-only and non-destructive behavior. The description adds that the response includes citations and that questions are 'bounded', which provides useful context beyond annotations. It doesn't specify what happens if the query exceeds bounds, but that's a minor gap given the simple tool.

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?

The description is a single, well-structured sentence that front-loads the action and purpose without redundancy. Every word adds value.

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?

For a tool with one parameter and no output schema, the description is mostly adequate, but it leaves 'bounded' undefined and does not describe the expected response format beyond 'cited public resources'. An agent may not know how to phrase questions or what 'bounded' means in practice, so completeness is partial.

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?

The schema has zero description coverage for the only parameter 'query', and the tool description never mentions the parameter. The agent only knows it's a string with length constraints; the description doesn't clarify that the parameter is the natural-language question or how to phrase it. This is a significant omission for a tool with a single parameter.

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?

The description states a clear verb ('Ask'), a specific resource ('UsageMax documentation'), and the outcome ('receive cited public resources'). It naturally distinguishes from siblings like leaderboard, network_stats, and public_profile, which are data-retrieval tools rather than Q&A over docs.

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 word 'bounded' implies limits but does not explicitly state when to use this tool over siblings or what falls outside scope. No alternatives are named, so the agent must infer that documentation questions go here while numeric data comes from the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.