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Replay Workcell Trace

robotics_replay_workcell_trace_v1
Idempotent

Problem: Replay this bounded workcell trace against the supplied event assertions. Input: JSON with model id, events, assertions. Result: timeline, assertion results and trace digest. 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

A3.6/5.0
Behavior4/5

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

Annotations already declare it is not read-only, is idempotent, not destructive, and closed-world. The description adds valuable operational context not in the annotations: software/model evidence only, a 65536-request-byte limit, and a 5-second execution limit. This exceeds the annotation-covered baseline.

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?

Very compact and front-loaded, using a Problem/Input/Result/Limits structure that lets an agent extract the purpose, inputs, outputs, and constraints in one pass with no filler.

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?

For a nested request object with no schema descriptions and an output schema present, the description supplies the core input/output gist, constraints, and evidence scope. It omits parameter-level detail, which leaves a gap against the 0% schema coverage, but the presence of an output schema reduces the need to describe results.

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 loosely mentions 'JSON with model id, events, assertions' without mapping these to the actual required schema fields (request, schema_version, idempotency_key, max_total_price). With low coverage, the description should compensate but does not explain parameter meaning or format.

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?

States a specific verb ('Replay') and resource ('bounded workcell trace') with the goal of testing against supplied event assertions. Distinguishes itself from siblings like robotics_validate_* and robotics_compare_* by being a trace replay against assertions, though it does not explicitly name which sibling to prefer.

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

Usage Guidelines3/5

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

The word 'Problem:' implies the task context, but there is no explicit when-to-use, when-not-to-use, or named alternative among the many robotics_* siblings. Usage is only inferable from the described input/output.

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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