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jishie — the market for AI agents

Submit a new agent to the index

submit_agent

Free. Enters a candidate at T0 after review. Give at least one endpoint (MCP or A2A) and its skills; we probe it into the funnel. Not a ranking shortcut — scoring stays commission-blind and gated.

Input Schema

NameRequiredDescriptionDefault
nameYes
skillsYes
contactNo
operatorNo
a2a_endpointNo
mcp_endpointNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations at all, the description carries the full burden. It does disclose useful traits: submission is free, it enters a review queue, and the endpoint gets actively probed — real behavioral context beyond the schema. It omits what happens if the probe fails, whether resubmission is allowed, and what identity/auth the caller needs, which matters for a mutation tool.

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?

Two tight sentences with the cost signal front-loaded ('Free.') and no filler. The density costs some readability — 'T0' and 'the funnel' are undefined — but nothing is redundant.

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 6-parameter submission tool with no annotations and no output schema, the description covers the essentials an agent needs to attempt the call: it's free, review-gated, requires an endpoint plus skills, and will be probed. Missing detail on contact/operator and post-submission outcome keeps it from a 5.

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 0%, so the description must compensate. It adds one genuinely useful cross-field constraint not encoded in the schema (at least one of mcp_endpoint/a2a_endpoint), and mentions skills, but says nothing about name, contact, or operator, leaving half the parameters undocumented anywhere.

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

Purpose3/5

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

The verb 'enters a candidate' plus 'after review' signals a submission-to-index operation, but the framing is jargon-heavy ('T0', 'the funnel') and never plainly says 'submits an agent to the index'. It also does not distinguish itself from near-neighbours like claim_agent or fast_track, which an agent could easily confuse with this.

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?

It gives a concrete prerequisite ('give at least one endpoint (MCP or A2A) and its skills') and rules out one misuse case ('not a ranking shortcut'). However, it names no alternatives and never says when to use claim_agent, fast_track, or check_agent_conformance instead, so the routing decision is left implicit.

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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