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Optimize Disturbance Rejection

robotics_optimize_disturbance_rejection_v1
Idempotent

Problem: Tune supported control parameters against this bounded disturbance model and supplied response objectives. Input: JSON with mass, damping, disturbance, time step seconds, baseline kp, baseline.... Result: candidate parameters, comparative metrics and constraint results. Limits: Software/model evidence only; 65536 request bytes; 5 s execution.

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": {
      "schema_version": "<schema_version>",
      "request": "<request>",
      "idempotency_key": "<idempotency_key>",
      "max_total_price": "<max_total_price>"
    },
    "name": "robotics_optimize_disturbance_rejection_v1"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestYes
schema_versionYes
idempotency_keyYes
max_total_priceYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / anyOf
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      -      "x402_settlement_id",
      -      "x402_transaction_id",
      -      "retrieval_token",
      -      "retrieval_token_expires_in",
      -      "duplicate"
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      -    "type": "object"
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      -          "FEATURE_DISABLED",
      -          "QUOTE_NOT_ENTITLED",
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      -          "QUOTE_MISMATCH",
      -          "PRICE_LIMIT_EXCEEDED",
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      -          "ARTIFACT_PREFERENCE_UNAVAILABLE",
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      -          "RESERVATION_FAILED",
      -          "PRODUCT_REJECTED",
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      -          "JOB_NOT_FOUND",
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      -          "JOB_ACCESS_DENIED",
      -          "SETTLEMENT_FAILED",
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      -    "type": "object"
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      -]New value: +[
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      +        "minLength": 1,
      +        "type": "string"
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      +      "commercial_state": {
      +        "maxLength": 64,
      +        "minLength": 1,
      +        "type": "string"
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      +      "duplicate": {
      +        "type": "boolean"
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      +      "job_id": {
      +        "maxLength": 256,
      +        "minLength": 1,
      +        "type": "string"
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      +      "payment_rail": {
      +        "const": "x402",
      +        "type": "string"
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      +      "price": {
      +        "pattern": "^(?:0|[1-9]\\d{0,13})(?:\\.\\d{1,6})?$",
      +        "type": "string"
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      +      "product": {
      +        "enum": [
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      +          "robotics"
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      +        "type": "string"
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      +      "quote_id": {
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      +        "type": "string"
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      +        "type": "string"
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      +        "type": "integer"
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      +        "type": "string"
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      +      "schema_version": {
      +        "const": "rqm.jobs.buyer-job-run.v1",
      +        "type": "string"
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      +      "status": {
      +        "enum": [
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      +          "running",
      +          "completed",
      +          "failed",
      +          "cancelled",
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      +        "minLength": 1,
      +        "type": "string"
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      +        "format": "uuid",
      +        "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
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      +      "product",
      +      "capability_id",
      +      "capability_version",
      +      "request_schema_version",
      +      "catalog_revision",
      +      "catalog_digest",
      +      "request_hash",
      +      "job_id",
      +      "status",
      +      "quote_id",
      +      "reservation_id",
      +      "commercial_state",
      +      "payment_rail",
      +      "price",
      +      "tariff_version",
      +      "x402_settlement_id",
      +      "x402_transaction_id",
      +      "retrieval_token",
      +      "retrieval_token_expires_in",
      +      "duplicate"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "additionalProperties": false,
      +    "properties": {
      +      "code": {
      +        "enum": [
      +          "AUTHENTICATION_REQUIRED",
      +          "MACHINE_AUTHENTICATION_FAILED",
      +          "MACHINE_AUTHORIZATION_FAILED",
      +          "ACCOUNT_CORE_UNAVAILABLE",
      +          "FEATURE_DISABLED",
      +          "QUOTE_NOT_ENTITLED",
      +          "QUOTE_IDEMPOTENCY_CONFLICT",
      +          "QUOTE_NOT_AVAILABLE",
      +          "QUOTE_REQUEST_INVALID",
      +          "QUOTE_MISMATCH",
      +          "PRICE_LIMIT_EXCEEDED",
      +          "RUNTIME_LIMIT_EXCEEDED",
      +          "ARTIFACT_PREFERENCE_UNAVAILABLE",
      +          "INSUFFICIENT_BALANCE",
      +          "RESERVATION_FAILED",
      +          "PRODUCT_REJECTED",
      +          "PRODUCT_UNAVAILABLE",
      +          "JOB_NOT_FOUND",
      +          "JOB_NOT_READY",
      +          "JOB_ACCESS_DENIED",
      +          "SETTLEMENT_FAILED",
      +          "FUNDING_UNAVAILABLE",
      +          "FUNDING_FAILED"
      +        ],
      +        "type": "string"
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      +      "message": {
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      +      "retryable": {
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      +        "type": "string"
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      +    "required": [
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      +    "type": "object"
      +  }
      +]
  2. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already cover safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=false), and the description adds real operational limits: 65536 request bytes, 5 s execution, and the 'software/model evidence only' caveat, which is valuable for trust calibration. However, it omits that the call is priced (max_total_price is pinned to 0.010000 in the schema) and says nothing about the async job lifecycle, idempotency behaviour, or what a returned candidate actually guarantees.

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 Problem/Input/Result/Limits skeleton is well front-loaded and compact, but the Input sentence is cut off mid-token, which is wasted and misleading text rather than concision. The framing is efficient; the editing is not finished.

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

Completeness2/5

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

This is a high-complexity tool with a nested free-form request object and a job/pricing wrapper, yet the description leaves the wrapper semantics (idempotency key, price cap, whether a job must be polled) unexplained. Output schema coverage means the Result line is fine to keep brief, but the truncated input spec and missing sibling differentiation leave too little for an agent to call it correctly with confidence.

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 4 required parameters, so the description must carry the load. It partially enumerates the nested request fields (mass, damping, disturbance, time step, baseline kp) but the list is visibly truncated ('baseline....'), and the top-level parameters, especially idempotency_key and max_total_price, receive no explanation at all.

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

Purpose4/5

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

It states a specific verb (tune) plus the resource (supported control parameters) and the modelling context (bounded disturbance model with supplied response objectives), which is far more informative than the bare name. It stops short of differentiating itself from the very close sibling robotics_tune_controller_to_objectives_v1, so an agent must still guess which of the two to pick.

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 when-to-use or when-not-to-use guidance and no alternatives are named, despite several siblings (robotics_tune_controller_to_objectives_v1, robotics_optimize_trajectory_to_constraints_v1, robotics_validate_closed_loop_stability_v1) being obvious substitutes. The only routing signal is the implicit word 'disturbance'.

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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