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Compare State Estimators

robotics_compare_state_estimators_v1
Idempotent

Problem: Compare these bounded estimator outputs against the supplied reference and objective rules. Input: JSON with reference, estimators, rules. Result: per-estimator metrics, rule verdicts, deterministic selected estimator or.... 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, so the safety posture is structured. The description adds genuinely useful constraints: software/model evidence only, 65536 request bytes, 5 s execution, and a deterministic selected estimator. These are extra behavioral facts beyond the annotations, which lifts it above baseline, though mutation and reversibility are not addressed.

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?

It is short and front-loads the core operation, but the telegraphic 'Problem/Input/Result/Limits' labels and the trailing 'or....' make it read as an unfinished template rather than polished prose. Density is acceptable but the structure is awkward.

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 the description need not explain return values, and it correctly sketches the result shape. However, for a tool with four required, undocumented parameters and a nested opaque request object, plus many sibling robotics tools, the definition is thin on how to construct inputs and when to prefer it.

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% across four required parameters. The description mentions 'JSON with reference, estimators, rules' which loosely maps to the opaque 'request' object, but it does not explain schema_version, idempotency_key, or max_total_price, nor the required structure inside request. With 0% coverage, the description is expected to compensate and largely does not.

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 states a verb+resource: compare bounded estimator outputs against a supplied reference and objective rules, producing metrics and a selected estimator. This is more specific than the title, but it uses a 'Problem/Input/Result/Limits' template that reads like a schema stub rather than a clear purpose statement, and it does not differentiate itself from sibling robotics comparison tools like robotics_compare_controller_responses_v1 or robotics_estimate_fused_state_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?

No when-to-use, when-not-to-use, or alternative guidance is provided. With many sibling robotics_* comparison/estimation tools, the agent has no signal for choosing this tool over the others, and the 'Limits' line only constrains evidence type and size.

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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