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shanjairaj7

commune-mcp

by shanjairaj7

submit_feedback

Report errors, request missing features, or share signals about Commune's performance to the product team for actionable improvements.

Instructions

Submit feedback about Commune to the product team.

Use this tool whenever you encounter something worth reporting — an error, a missing capability, or an observation about what's working well or could be improved.

Three feedback types:

"error" — the API returned a non-2xx status, the response shape was wrong, or behavior was incorrect (not just unexpected). Include context: which tool you called, what you expected, what happened. Example: "list_threads returns 500 when the inbox has never received a message."

"feature" — you need a capability that doesn't exist yet. Be specific about the use case. Example: "Need cursor-based pagination on search_threads — current limit cap blocks processing large backlogs."

"signal" — the API succeeded but quality, latency, or behavior was unexpected. Also use for positive observations. Example: "Semantic search quality on long threads is excellent — intent matching across 40+ messages works." Example: "Thread metadata endpoint is slow (~3s) on inboxes with 1000+ threads — expected <500ms."

The optional context dict lets you attach structured metadata that makes feedback actionable. For errors, include the tool name, any IDs, and status codes. For features, include the related tool and your use case.

Args: type: Feedback type — "error", "feature", or "signal" message: Clear description of the feedback (max 4000 chars) context: Optional structured metadata, e.g. {"tool": "list_threads", "inbox_id": "inb_123", "status_code": 500}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
contextNo
messageYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It explains the feedback submission action, types, and optional context. It discloses that it sends data to the product team. No contradictions or hidden side effects are apparent.

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?

Front-loaded with purpose. Organized by feedback type with bullet-point examples. Could be slightly shortened but each sentence adds value. Appropriate length for the detail provided.

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?

Given 3 parameters, no annotations, and an output schema present, the description covers types, examples, and context usage well. It doesn't mention post-submission behavior (e.g., response) but the output schema likely handles that.

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?

Although schema coverage is 0%, the description adds significant meaning: explains enum values for 'type', clarifies 'message' content and max length (4000 chars, not in schema), and provides detailed examples for 'context' including tool name, IDs, and status codes.

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?

Clearly states 'Submit feedback about Commune to the product team.' Distinct from all sibling tools which are domain, inbox, thread, SMS, or credit operations. Provides specific verb and resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use ('whenever you encounter something worth reporting') and gives detailed instructions for three feedback types with examples. No exclusion or alternative tools are needed since none exist.

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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