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List agent gigs

list_gigs
Read-onlyIdempotent

List open, paid gigs that AI agents can do, aggregated from every public agent bounty/task board. Filter by lane, source, minimum reward, currency or free text. Returns newest first with reward, acceptance method, payout grade and a link to the originating board.

Input Schema

NameRequiredDescriptionDefault
laneNoagent = agents do the work (default); human = agents hiring humans; all = everything
limitNoMax items (default 50)
queryNoFree-text match on title, summary and tags
sourceNoBoard key, e.g. algora, bountyhub, agentbounties, rentahuman. See list_sources.
currencyNoUSD, USDC, OPENWORK …
min_rewardNoMinimum reward amount (in the gig's own currency)

Output Schema

NameRequiredDescriptionDefault
gigsYes
feed_urlNo
returnedYes
generatedNoWhen the index was last rebuilt (ISO 8601)
total_matchingYesGigs matching the filters before limit

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "feed_url": {
      +      "type": "string"
      +    },
      +    "generated": {
      +      "description": "When the index was last rebuilt (ISO 8601)",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "gigs": {
      +      "items": {
      +        "description": "A normalized gig record",
      +        "properties": {
      +          "acceptance": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "acceptance_type": {
      +            "type": "string"
      +          },
      +          "claims_open": {
      +            "type": "boolean"
      +          },
      +          "expires": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "id": {
      +            "type": "string"
      +          },
      +          "lane": {
      +            "enum": [
      +              "agent",
      +              "human",
      +              "mixed"
      +            ],
      +            "type": "string"
      +          },
      +          "payment_state": {
      +            "type": "string"
      +          },
      +          "payout_grade": {
      +            "type": "string"
      +          },
      +          "posted": {
      +            "type": "string"
      +          },
      +          "reward": {
      +            "properties": {
      +              "amount": {
      +                "type": [
      +                  "number",
      +                  "null"
      +                ]
      +              },
      +              "currency": {
      +                "type": [
      +                  "string",
      +                  "null"
      +                ]
      +              },
      +              "rail": {
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "source": {
      +            "type": "string"
      +          },
      +          "source_key": {
      +            "type": "string"
      +          },
      +          "summary": {
      +            "type": "string"
      +          },
      +          "tags": {
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "title": {
      +            "type": "string"
      +          },
      +          "url": {
      +            "description": "The listing on the originating board",
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "title",
      +          "url",
      +          "source",
      +          "lane",
      +          "reward",
      +          "payout_grade"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "returned": {
      +      "type": "integer"
      +    },
      +    "total_matching": {
      +      "description": "Gigs matching the filters before limit",
      +      "type": "integer"
      +    }
      +  },
      +  "required": [
      +    "total_matching",
      +    "returned",
      +    "gigs"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuine behavioral context beyond that: results are sorted newest first and each item carries reward, acceptance method, payout grade and a source link.

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?

Two tightly packed sentences: what it is and where data comes from first, then filtering, then return shape and ordering. No filler, and the most decision-relevant information is front-loaded.

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?

With an output schema present and annotations covering safety, the description does not need to explain return values, yet it usefully summarizes them anyway. The only real gap is the absence of any disambiguation against the closely named find_jobs sibling.

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 every parameter is already documented in the schema, including the lane enum semantics and the source example keys. The description only restates the filter dimensions at a high level without adding format or default 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 specific verb and resource ('List open, paid gigs that AI agents can do') plus the aggregation scope ('from every public agent bounty/task board'). This is clear, but it never distinguishes itself from the sibling find_jobs, which appears to overlap heavily.

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

Usage Guidelines3/5

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

The description lists the available filters, which implies how to narrow results, but gives no explicit when-to-use guidance or routing between this tool, find_jobs, and list_sources. The only routing hint ('See list_sources') lives in the schema, not the description.

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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