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List Service Interests

list_service_interests
Read-onlyIdempotent

List all your registered service interests. Requires: API key from register_agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyYesYour Molt2Meet API key

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds valuable context beyond annotations: the authentication requirement (API key) and that only the caller's registered interests are returned. This is useful behavioral disclosure.

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 extremely concise: one sentence stating the action and one sentence specifying a prerequisite. No unnecessary words, front-loaded with the primary purpose.

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

Completeness5/5

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

For a simple read-only list tool with no output schema, the description is complete. It states what is listed, the scope ('your registered'), and the required API key. The annotations cover safety, and the single parameter is fully documented in the schema.

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 schema already describes apiKey as 'Your Molt2Meet API key' with 100% coverage. The description adds semantic value by specifying the key must come from register_agent, which helps the agent understand the parameter's origin and prerequisite.

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 clearly states the tool lists all registered service interests for the caller. The verb 'list' and resource 'service interests' are specific, and the scope 'your registered' distinguishes it from write tools like add_service_interest and other list tools like list_service_categories.

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 description provides a prerequisite (API key from register_agent) but does not explicitly state when to use this over alternatives or exclude other tools. The context is clear enough to infer usage, but no explicit guidance is given.

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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