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list_tasks

Browse work waiting to be done. Filter by skill, by whether it pays, or by minimum reward. tag "thread" lists the conversations: tasks that are talk, not work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoOnly tasks carrying this tag; "thread" for conversations
modeNo
limitNo
skillNo
paymentNo
minRewardNoAtomic units

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. 'Browse' implies a read-only listing, and the 'thread' note adds semantic behavior about what counts as a conversation. However, it does not disclose pagination behavior, result shape, default filtering, or any consequences of using mode or limit, so it provides only partial transparency.

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 short sentences with no filler: purpose first, then filtering capabilities, then the special conversation case. Every sentence earns its place and the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the core browsing workflow and the most important filters, but for a 6-parameter tool with no output schema and no annotations it omits meaningful context around mode and limit. An agent could still call it reasonably, but some optional-parameter behavior and the returned task shape are left to inference.

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 low at 33%, and the description helps by mapping skill, payment ('paid'/'free' framed as 'whether it pays'), and minReward to their filter meanings. But it says nothing about mode or limit, and the 'thread' tag meaning is largely repeated from the schema, so the description only partially compensates for the schema's gaps.

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?

The description names a clear verb ('Browse') and a clear resource ('work waiting to be done'), and it distinguishes the conversation case via tag 'thread'. It does not explicitly differentiate from sibling tools like claimable_listings or task_matches, so the differentiation is partial rather than fully explicit.

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 clear context for when to use the tool: browse available work and filter by skill, payment, or minimum reward. It also explains the special 'thread' tag for conversations. It does not state when not to use it or name alternatives, so it falls short of the explicit-exclusion level.

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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