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Fleet Evidence Check

rm_workspace_fleet_evidence_check

Validate fleet evidence against a bounded immutable reference JSON, detecting mismatches in workspace repository organization and maintenance state.

Instructions

Fleet evidence check (rm_workspace). Core workspace organization, configuration, and maintenance.

Input Schema

NameRequiredDescriptionDefault
partNoVersion part to bump for 'maintain' (major, minor, patch).patch
forceNoFor 'maintain': bump even when no code changes are detected, and override an orphan local 'next-version' tag (delete it and re-bump) — only if that tag is NOT on the remote.
phaseNoStarting phase number for 'maintain'.
job_idNoJob ID to check status for 'maintain_status' action.
dry_runNoPerform a dry run for 'maintain'.
installNoFor 'setup': after clone/pull, materialize each project's .uv-workspace-siblings/agent-connector-sdk symlink and run `uv sync`, dependency-ordered (agent-connector-sdk first, since every fleet member depends on it and it is not yet published to PyPI at the required floor). Best-effort per project; a partial failure is reported (status='error' with per-project detail in 'data'), never masked as a uniform success. See CONCEPT:RM-BOOTSTRAP.
summaryNoFor 'maintain_status': return a COMPACT roll-up (per-phase counts + failed set + active names + remaining count) instead of the full per-repo phase dump. Keeps the response inline at 200+ repos. Set False for the full per-repo detail.
projectsNoFor 'maintain': comma-separated repo names to bump ONLY those (e.g. re-bump repos a prior run skipped) instead of the whole topological set. Restricts the bulk phase to these names.
yml_pathNoPath to workspace.yml (for 'setup', 'template', 'save').
auto_startNoFor 'maintain': begin at the lowest phase with repository changes instead of always 'phase', cascading to every later phase and skipping unchanged upstream phases. Default True; set False to start at 'phase'. Ignored when 'projects' or 'force' is set.
config_dictNoDictionary representation of WorkspaceConfig (for 'save').
use_defaultNoUse the pre-filled package template for 'template'.
fleet_evidence_jsonNoBounded immutable reference JSON for fleet_evidence_check.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.5.1

TDQS

D1.7/5.0
Behavior1/5

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

Annotations declare readOnlyHint=false, idempotentHint=false, openWorldHint=false, so this is a state-mutating, non-idempotent local operation — yet the 'check' framing in both name and description implies a passive read, creating a misleading impression the description never corrects. Nothing is added beyond the annotations: no side effects, no required inputs, no failure modes.

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

Conciseness2/5

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

It is short, but brevity without content is under-specification, not conciseness. The opening sentence merely echoes the name and the second sentence is generic module boilerplate that does not earn its place.

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

Completeness1/5

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

For a 13-parameter, non-idempotent tool with an output schema and multiple verification siblings, the description supplies none of the context an agent needs: what 'evidence' is validated, what the check guarantees, or when to prefer it. The output schema excuses explaining return values, but nothing else is covered.

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

Parameters3/5

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

Schema description coverage is 100%, so all 13 parameters (part, force, phase, job_id, dry_run, fleet_evidence_json, etc.) are already documented in the schema, which sets the baseline at 3. The description adds zero parameter meaning — notably it never explains fleet_evidence_json, the parameter that appears to be this tool's core input.

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

Purpose2/5

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

The description restates the tool name ('Fleet evidence check') and adds only a module-level boilerplate tagline ('Core workspace organization, configuration, and maintenance') that describes rm_workspace as a whole, not this tool. It never says what evidence is checked, against what, or what a 'check' produces — an agent cannot distinguish this from siblings like rm_concepts_verify_candidate or rm_gates_audit_fail_fast.

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

Usage Guidelines1/5

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

No when-to-use, when-not-to-use, prerequisites, or named alternatives appear anywhere. With dozens of verification/audit siblings in the namespace, the complete absence of routing guidance leaves selection to guesswork.

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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