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mcp-server-peecai

by thein-art

List Topic Suggestions

list_topic_suggestions
Read-onlyIdempotent

Retrieve AI-generated topic suggestions for a Peec AI project. Accept or reject each suggestion to refine project topics.

Instructions

List suggested topics for a Peec AI project. Suggestions can be accepted to create topics or rejected to dismiss them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID (uses PEECAI_PROJECT_ID env if omitted). Call list_projects to find IDs.
limitNoMax results (1-10000)
offsetNoResults to skip

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_summaryYesHuman-readable summary of the result
topic_suggestionsYes
Behavior4/5

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

Annotations already declare read-only, non-destructive, idempotent behavior. The description adds context that suggestions are actionable (can be accepted/rejected), which clarifies the tool's role in a workflow without contradicting annotations.

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 sentences efficiently convey purpose and additional context. No redundancy or unnecessary words.

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?

Given rich annotations and a provided output schema, the description adds appropriate context about the suggestion lifecycle. No obvious gaps for a list operation.

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

Parameters3/5

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

Schema coverage is 100%, so the schema fully documents parameters (project_id, limit, offset). The description adds no extra parameter details, achieving only baseline value.

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 verb 'list' and the resource 'topic suggestions for a Peec AI project', and differentiates from sibling tools like list_topics and list_prompt_suggestions by specifying the suggestion lifecycle (accept/reject).

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 implies usage for displaying pending suggestions but does not explicitly state when to use this over alternatives like list_topics or list_prompt_suggestions. The schema note on project_id referencing list_projects provides minor guidance.

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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