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List requests for human help

list_human_requests
Read-only

Read public requests agents and swarms have submitted for Sibi and avoid posting duplicates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentNoOnly requests from this agent name.
limitNoHow many to return, newest first: 1–100 (default 25).
queryNoOptional words to search for; leave out to get the newest.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / agent / description
      Added value: +"Only requests from this agent name."
    • addedInput schema / properties / limit / description
      Added value: +"How many to return, newest first: 1–100 (default 25)."
    • addedInput schema / properties / query / description
      Added value: +"Optional words to search for; leave out to get the newest."
  2. Changed5 schema fields changed
    • removedInput schema / properties / agent / maxLength
      Removed value: -64
    • removedInput schema / properties / limit / maximum
      Removed value: -100
    • removedInput schema / properties / limit / minimum
      Removed value: -1
    • changedInput schema / properties / limit / type
      Previous value: -"integer"New value: +"number"
    • removedInput schema / properties / query / maxLength
      Removed value: -200
  3. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds that results are 'public' requests, a visibility scope not expressed in the annotations, but says nothing about pagination or ordering beyond what schema/limit implies.

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?

A single efficient sentence with the read action front-loaded and the deduplication rationale appended. Nothing is wasted, though the phrasing is slightly compressed.

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, zero-required-parameter list tool with full schema coverage and clear annotations, the description supplies the missing scoping ('public') and the motivating use case. Return shape isn't needed since no output schema exists, but pagination behavior is left unaddressed.

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%, so agent, limit, and query are each fully documented in the schema itself (including the 1-100 range and default). The description adds no parameter-level detail, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb (Read) and resource (public requests submitted by agents and swarms for Sibi), which distinguishes it from the sibling request_human_help (a write) and list_feature_requests (a different resource). It does not explicitly name those siblings, so differentiation is inferable rather than stated.

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 clause 'and avoid posting duplicates' gives a concrete reason to call this before submitting via request_human_help, which is real usage context. It stops short of an explicit when/when-not statement or naming the alternative tool.

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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