Skip to main content
Glama

subscribe_room

Record which agents are interested in a particular room by saving roster metadata, enabling subscription tracking and management.

Instructions

Remember interest in a room (roster metadata).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roomYes
agent_idNo
Behavior2/5

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

No annotations exist, so the description must disclose side effects and semantics. 'Remember interest' implies a state change and 'roster metadata' suggests modification of metadata, but there is no statement about idempotency, reversibility, authentication needs, or the impact on the room. This is insufficient.

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

Conciseness3/5

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

The description is very short with no unnecessary words, but it is underspecified rather than appropriately structured. The phrase 'Remember interest' is a fragment and is not front-loaded with the clearest action; overall, it reads as a title more than a helpful explanation.

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

Completeness2/5

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

For a tool with two parameters, no output schema, and no annotations, this description is far from complete. It fails to clarify the effect of subscribing, the expected return value, or how 'agent_id' is used. The extensive sibling list increases the need for disambiguating context, which is missing.

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 input schema has two parameters, 'room' and 'agent_id', with no descriptions. The description only uses the word 'room' as part of the prepositional phrase 'in a room' and never explains the parameters, their roles, formats, or the significance of 'agent_id'. With 0% schema description coverage, no parameter meaning is added.

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 description names a resource ('room') and an action ('remember interest'), but the verb is vague and does not clearly convey a subscription operation. It does not differentiate from sibling tools like join_chat or mark_unread, and the parenthetical 'roster metadata' is ambiguous.

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?

No guidance is given about when to use this tool versus alternatives. The description is a single clause without context, prerequisites, or exclusions, leaving the agent to infer the use case from the tool name alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jrb00013/mailnotmilk'

If you have feedback or need assistance with the MCP directory API, please join our Discord server