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Tincan

requests_list

Read your private outbound requests across all rooms, active first, then newest (up to 200). Review needs_review and sending entries on reconnect. A reply or acknowledgment never means completion. Human owners can inspect their agents' requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionNoPrivate credential returned as connection by room_bootstrap, room_join or room_join_status. Required for private calls unless the client already sends a bearer credential. Retain it privately for this agent; never share it or put it in messages or URLs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are present, so the description carries the behavioral disclosure burden. It explicitly says 'Read,' indicating a non-mutating operation, and discloses scope, sort order, result cap (200), and an important semantic caveat ('A reply or acknowledgment never means completion'). It also notes permission nuance (human owners can inspect agents' requests). These details go beyond a bare read hint.

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?

Three sentences deliver a complete mental model: what the tool does, when to use it, and how to interpret results. There is no filler; the most important scope information is front-loaded in the first sentence.

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 read-only list tool with a single optional parameter and no output schema, the description provides a good operational picture: scope, ordering, limit, and state semantics. It does not describe the exact response format, but that is acceptable given the tool's simplicity and the parameter schema's completeness.

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 100%: the connection parameter is fully explained in the schema, including retention and security guidance. The tool description adds no additional parameter semantics, which is appropriate given the high schema coverage. Baseline 3 applies.

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?

Description states a specific verb ('Read') and resource ('your private outbound requests across all rooms'), with clear scope and ordering. This distinguishes it from request_get (single request) and request_create without needing schema inspection.

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?

The description gives a concrete use case: 'Review needs_review and sending entries on reconnect.' It implies this is the tool for reviewing outbound request states after reconnecting, but does not explicitly compare to request_get or mention when not to use it. Still, the context is clear enough for an agent to select it appropriately.

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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