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ai2robot-network

ros2-mcp

chain_fingerprint

Get the SHA-256 fingerprint of a proof draft for a task, enabling verification of hash-chained data integrity in ROS2 workflows.

Instructions

Return the SHA-256 fingerprint of the proof draft for a task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYes
Behavior3/5

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

With no annotations, the description carries the full burden. It implicitly conveys a read-only operation via 'return,' but does not disclose error behavior, side effects, or whether the task must exist. This is adequate for a simple getter but lacks depth.

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?

A single sentence, front-loaded with the verb and outcome, with no unnecessary words. Every word earns its place.

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?

The tool is simple with one parameter and no output schema. The description covers the core function and return type (SHA-256 fingerprint) but could improve by specifying the output format (e.g., hex-encoded) and the purpose of the 'proof draft.' Overall, it is sufficiently complete for a basic getter.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only says 'for a task,' adding no detail beyond the parameter name taskId. No format, constraints, or semantic meaning are explained, so the agent must rely on the parameter name 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?

The description clearly states the tool returns a SHA-256 fingerprint of a proof draft for a specific task, using a specific verb and resource. This distinguishes it from sibling tools like wrap_proof or read_topic, which serve different purposes.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor any context about verification workflows or prerequisites. The description only states the function, leaving the agent without direction on selecting this tool.

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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