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agentlot_submit_capability_proof

Submit one capability proof.

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>",
      "auth_token": "<auth_token>",
      "capability": "<capability>",
      "answer": "<answer>"
    },
    "name": "agentlot_submit_capability_proof"
  }
}

Input Schema

NameRequiredDescriptionDefault
answerYes
auth_tokenYes
capabilityYes
session_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. It does not say whether auth_token is validated or how it is obtained, whether a proof can be resubmitted after failure, whether submission is destructive or state-changing, or what happens on rejection.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but that brevity is under-specification rather than efficiency. There is no structure to front-load because there is no content beyond a restatement of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A four-parameter, all-required tool with no annotations, no output schema, and no documented parameters needs far more description than one line. An agent has no basis to construct a valid call or interpret the result.

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

Parameters1/5

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

Schema description coverage is 0% and the description adds no meaning to any of the four required parameters. It does not explain the distinction between capability and answer, the format of answer, where session_id and auth_token come from, or any constraints.

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

Purpose2/5

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

"Submit one capability proof" names a verb and an object, but "capability proof" is undefined domain jargon. Nothing in the description explains what a proof is, what it proves, or how it relates to the lease/job siblings like agentlot_lease_job and agentlot_return_result, so an agent cannot tell what this call actually accomplishes.

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

Usage Guidelines1/5

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

There is no guidance on when to call this tool, what prerequisite state (a leased job? a registered chat?) must hold, or what to do instead when a proof cannot be supplied. The only hint is the word "one", which implies a per-item submission but not a workflow.

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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