Skip to main content
Glama

list_cases

Read-onlyIdempotent

Read separately consented and reviewed public case summaries. These do not expose private task evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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 adds real value beyond that by disclosing the privacy posture of the returned records (separately consented, reviewed, no private task evidence), which tells the agent what it can and cannot infer from the results. It still omits list-size, ordering, or truncation behavior, keeping it short of a 5.

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?

Two short sentences with the substantive qualifier (consented, reviewed, public) front-loaded and the privacy caveat second. Nothing is wasted, though the second sentence could have carried the list/pagination behaviour instead of only a negative disclosure.

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?

Annotations cover the safety profile and there is no output schema, so return-value documentation is not required. Still, for a zero-argument list tool the description says nothing about result-set scope, pagination, or ordering, which is the main remaining thing an agent needs to invoke it confidently.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. No parameter claims are made or needed.

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

Purpose4/5

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

States a clear verb (read) and a well-qualified resource (separately consented and reviewed public case summaries), so the agent knows the data domain is case summaries. However, it never signals that this is a collection/list operation with pagination, nor does it differentiate itself from the sibling get_case, which an agent could easily confuse it with.

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 statement of when to call this versus get_case, search_tasks, or get_result. The sentence about not exposing private evidence describes the data boundary, not a selection condition, so the agent gets no routing guidance.

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.

Resources