Skip to main content
Glama

submit_tool

List an AI agent tool (framework, coding agent, MCP server, memory/RAG, evals, browser agent...) on AgentoolRank. Free listing is queued; the response lists every paid option (price, days to go live, checkout_url for your human to pay) and recommends the cheapest one that fits max_budget_usd / deadline_days. Returns submission_id + status_token for get_submission_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesProduct website (https://...)
nameYes
emailYesMaker's email, used only to say when the listing is live
taglineYesOne sentence, max 160 chars
github_urlNohttps://github.com/owner/repo if open source
deadline_daysNoOptional: must be live within this many days
want_featuredNoOptional: wants homepage placement
max_budget_usdNoOptional: the most your human will pay

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that free listings are queued, that the response enumerates all paid options with price/days/checkout_url, that it recommends the cheapest option fitting the budget/deadline, and that it returns submission_id + status_token. It omits auth/permission requirements and rate limits, but the behavior profile is largely covered.

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 dense sentence, front-loaded with the core purpose followed by flow and return details; every clause (queued free listing, paid options, recommendation, submission_id/status_token) adds value. It is slightly long but not padded.

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?

There is no output schema, so the description must explain return values, and it does (paid option list with checkout_url, submission_id, status_token). Combined with the 88% parameter coverage and named follow-up tool, an agent has enough to invoke correctly; only auth/rate-limit context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already high (88%), so the baseline is 3, and the description adds genuine meaning beyond the schema by explaining how max_budget_usd and deadline_days drive the recommendation of the cheapest fitting paid option. That interaction is not evident from the schema descriptions alone.

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?

States a specific verb and resource ('List an AI agent tool ... on AgentoolRank') and clearly scopes the target domain (framework, coding agent, MCP server, etc.). It is trivially distinguishable from the read-only siblings get_tool/search_tools/get_alternatives, since this is the only submission tool.

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?

Explains the submission flow (free listing is queued) and explicitly routes the agent to the follow-up tool by name ('for get_submission_status'). It does not state when NOT to use it or any preconditions (e.g., duplicate listings), so it stops short of a full when/when-not guide.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources