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Gladly MCP by usefulapi

List audiences

gladly_list_audiences
Read-only

List the audiences used to target answers (id, name). Gladly API: GET /api/v1/audiences.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this is a safe read operation, so the description's main added value is the disclosed return shape (id, name) and the endpoint reference. It does not mention ordering, whether results are paginated or truncated, or any auth/rate-limit considerations.

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?

Two short sentences: purpose and return shape first, API endpoint second. Every clause carries information and nothing is padded.

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

Completeness4/5

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

For a zero-parameter read tool, the description covers purpose, return fields, and the underlying endpoint, and the readOnlyHint annotation covers the safety profile. Only minor gaps remain (result ordering or size limits), which are low-risk here.

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 the baseline is 4; the schema is an empty object and requires no explanation. The description correctly implies no inputs are needed, but adds nothing further because there is nothing further to add.

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 specific verb and resource ('List the audiences') and names the returned fields (id, name), so the agent knows exactly what comes back. Sibling tools cover different resources (agents, inboxes, topics), so there is no real ambiguity, though no explicit differentiation is offered.

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?

Usage is only implied by the phrase 'used to target answers,' which hints at when an agent might need audience IDs (e.g., targeting a reply). There is no explicit when-to-use or when-not-to-use statement, and no alternative tool is 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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