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Message a Capmus poster

send_message

Send a message to the poster of an active Capmus listing. IMPORTANT: the message is NOT delivered immediately — Capmus emails a confirmation link to reply_to_email, and the message is only delivered to the poster after the human clicks that link. Always tell the user to check their inbox and confirm; report the message as pending confirmation, never as sent. The poster's reply goes to reply_to_email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesPlain-text message to the poster (1-5000 characters).
post_idYesNumeric listing id, e.g. from search_listings or get_listing.
reply_to_emailYesThe user's own email address. Receives the confirmation link and the poster's reply. Never invent or guess this - ask the user for it.

TDQS

A5/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses the asynchronous delivery process, confirmation link mechanism, and pending status, which are beyond basic read/write hints.

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?

Concise and front-loaded with purpose, then key behavioral note, then actionable instructions; every sentence earns its place with no redundancy.

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?

Covers the full flow for this asynchronous tool, including what to tell the user and how to report status, despite no output schema; sibling tools are clearly distinct.

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

Parameters5/5

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

Adds significant meaning to the input schema, explaining that reply_to_email receives confirmation and reply, post_id is from search/get, and message is plain-text; also warns against inventing the email.

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 'Send a message to the poster of an active Capmus listing', using a specific verb and resource, and is easily distinguished from sibling tools like create_post or search_listings.

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?

Describes the critical behavior that the message is not delivered immediately, requires a confirmation link, and instructs the agent to inform the user and report status as pending, providing clear usage 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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: listing creation, retrieval, search, messaging, category browsing, and statistics. No overlaps or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (e.g., create_post, get_listing, search_listings), making them predictable for agents.

Tool Count5/5

With 6 tools covering essential marketplace operations, the count is well-scoped and each tool earns its place without excess or deficiency.

Completeness3/5

The set covers browsing, viewing, creating drafts, and messaging, but lacks tools for updating or deleting listings, which are notable gaps for full lifecycle management.