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Analyze Force Disturbance Response

robotics_analyze_force_disturbance_response_v1
Idempotent

Problem: Analyze these bounded force and disturbance inputs against the supplied response model and criteria. Input: JSON with mass kg, damping n s per m, stiffness n per m, time step seconds.... Result: modeled response, metrics and rule results. Limits: Software/model evidence only; 65536 request bytes; 5 s execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes
schema_versionYes
idempotency_keyYes
max_total_priceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, openWorldHint=false. The description adds useful operational limits (65536 request bytes, 5 s execution) and scopes evidence to 'software/model evidence only', which goes beyond the annotations. It does not disclose permissions or side effects of the non-read-only operation, so it is adequate but not rich.

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

Conciseness3/5

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

The pseudo-structured 'Problem/Input/Result/Limits' format is compact and front-loads the problem statement, but fragments like 'time step seconds....' read as truncated. It is reasonably sized yet not cleanly prose.

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

Completeness3/5

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

An output schema exists, so return values need not be explained. The description covers input gist and limits, but with 0% schema coverage and nested additionalProperties, the agent lacks enough parameter detail to construct a valid request confidently.

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%, so the schema does not explain the four required parameters. The description mentions a nested 'request' containing mass, damping, stiffness, and time step, which gives some domain meaning but leaves schema_version, idempotency_key, and max_total_price (including the odd const price of '0.010000') unexplained. It partially compensates but far from fully.

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

Purpose3/5

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

The description's 'Problem' line states the tool analyzes bounded force and disturbance inputs against a supplied response model and criteria, which names a specific analytical operation. However, it is cluttered with 'Input/Result/Limits' framing rather than a clean verb+resource statement, and it does not differentiate itself from closely named siblings such as robotics_optimize_disturbance_rejection_v1 or robotics_compare_controller_responses_v1.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no named alternative among the many robotics_* siblings. The description implies the tool is for disturbance-response analysis but leaves the agent to guess whether this supersedes optimization or comparison tools.

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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