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submit_tool

[Tool directory] List an AI agent tool (framework, coding agent, MCP server, memory/RAG, evals, browser agent...) on AgentoolRank for free. The 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, and message_for_human: a summary to forward to your human.

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 behavioral burden and does well: it discloses that the free listing is queued (not immediate), that the response surfaces paid upsell options with a checkout_url intended for the human to pay, and that it returns submission_id + status_token plus a message_for_human summary. It omits auth requirements, idempotency, and failure modes, so not a 5.

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?

Three sentences, front-loaded with the bracketed directory tag and the core action, followed by the response contract. The category parenthetical is long but informative rather than filler; overall no sentence is wasted.

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 returns, and it does: submission_id, status_token, the paid option list, and message_for_human. Combined with covered behavior for an 8-parameter mutation tool, it is nearly complete, missing only error/auth edge cases.

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 88%, so the baseline is 3, but the description adds real meaning: it explains that max_budget_usd and deadline_days drive the paid-option recommendation logic and that email is only used for go-live notification. That is behavioral context the schema's one-liners do not supply.

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: listing an AI agent tool on AgentoolRank, and enumerates the categories accepted in the parenthetical. It is clearly distinguishable from siblings like get_tool, search_tools, and get_submission_status, which are read/lookup tools.

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 establishes the full workflow context: free listings are queued, paid options are returned with price/days/checkout_url, and the cheapest fitting option is recommended against max_budget_usd/deadline_days. It also routes the agent forward to get_submission_status. It does not explicitly state when NOT to use it or prerequisites (e.g., required email/url), so it stops short of a 5.

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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