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Glama

list_entities

Lists people, pets, places, and organizations stored in a user's memory, including how many memories mention each entity.

Instructions

People, pets, places and organizations in the user's memory, with how many memories mention each.

Input Schema

NameRequiredDescriptionDefault
user_idNodefault

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It helpfully discloses that results include mention counts per entity, but it omits pagination, result limits, sorting, and authentication/scoping behavior.

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?

The description is a single, waste-free sentence that front-loads the entity categories. It is efficient, though it does not lead with an explicit verb like 'List'.

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?

An output schema exists, so return values need not be explained. For a simple one-parameter list tool, the description covers the resource adequately, but gaps in usage guidance and user_id semantics keep it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter user_id has 0% schema description coverage, so the description should compensate. It implies user scoping via 'the user's memory' but never mentions the parameter, its default, or accepted format.

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?

The description identifies the resource precisely: people, pets, places, and organizations in the user's memory, plus mention counts. It is clear what the tool enumerates, but it does not explicitly distinguish itself from siblings like list_memories or recall.

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 guidance on when to use this tool versus siblings such as list_memories, recall, or remember. The retrieval context is implied by 'user's memory,' but no alternatives or exclusions are named.

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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