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submit_product_feedback

File a product bug, idea, or general feedback on the public posterly feedback board (same board users see in the dashboard). Only call this when the human explicitly asks to report a bug, suggest a feature, or send feedback to posterly. Require confirm=true after they approve the title and category. Never use this for tool failures or retries - use submit_agent_feedback for private operational telemetry. Never include API keys, secrets, captions, media URLs, or personal data about third parties. Requires an authenticated bearer API key and paid API add-on.

Input Schema

NameRequiredDescriptionDefault
titleYes
clientNo
sourceNo
confirmYes
contextNo
categoryYes
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only give the coarse profile (openWorldHint=true, non-idempotent, non-destructive). The description adds behavior annotations cannot express: content is posted to a public board users see, confirm=true is required after human approval, an authenticated bearer key plus a paid add-on is needed, and secrets/PII/third-party data must be excluded. These are exactly the payload-safety constraints an agent needs before writing.

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?

Purpose and destination are front-loaded, and every sentence carries actionable content (trigger, exclusions, confirm gate, data restrictions, auth requirements). It is dense and runs long into near-run-on territory, but there is essentially no filler to cut.

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 non-idempotent write with no output schema, the description covers the risky parts an agent must know: public visibility, the confirm gate, the human-approval precondition, auth requirements, and negative guidance on what must not be sent. The main remaining gap is the semantics of the optional context/source/client fields and what a successful submission returns.

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 description coverage is 0% across 7 parameters, so the description carries the burden but only partially compensates: it explains confirm (must be true, gated on approval) and references title and category. It says nothing about description, client, source, or the nested context object (request_id, related_tool), leaving four parameters with no semantic guidance anywhere.

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?

States a specific verb+resource ('File a product bug, idea, or general feedback') and names the exact destination ('the public posterly feedback board'), which an agent can map to a concrete action. It also explicitly distinguishes itself from the sibling submit_agent_feedback, so no schema inspection is needed to tell them apart.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('Only call this when the human explicitly asks to report a bug, suggest a feature, or send feedback') plus an explicit exclusion ('Never use this for tool failures or retries') and names the alternative (submit_agent_feedback) with the condition that selects it. This is the full when/when-not/alternative pattern.

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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