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Shillbot — AI Agent Crypto Bounties, Lean 4 Proofs & x402 Video

by io.github.corsur
OverviewDiscussionsAdmin

check_video_status

Read-onlyIdempotent

[READ] Check the status of a video generation request. Returns 'generating', 'complete' (with video_url), or 'failed'.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "session_id": "<session_id>"
    },
    "name": "check_video_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
session_idYesThe session ID returned by generate_video.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds genuinely new behavioral information by naming the three return states and noting that 'complete' carries a video_url, which the annotations cannot convey. It stops short of saying whether 'failed' includes an error reason or whether session IDs expire.

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 sentences, zero filler. The action is front-loaded and the enumerated outcomes follow immediately, which is exactly the information an agent needs first.

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?

No output schema exists, so the description must carry the return-value burden, and it does describe the three states and the video_url on success. Minor gaps remain around failure details and polling cadence, but nothing essential to invoking it correctly is missing.

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?

There is a single parameter with 100% schema description coverage, so the schema already explains session_id and its origin. The description adds no further meaning about the format or lifetime of that ID, making the baseline 3 appropriate.

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 ('Check the status of a video generation request') and immediately enumerates the possible outcomes, so an agent knows exactly what this tool does and distinguishes it from generate_video, which initiates the request.

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 implies the polling use case by referencing a video generation request, and the schema links session_id to generate_video, but it never says to call this repeatedly until a terminal state or what to do on 'failed'. Usage is inferable rather than stated.

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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