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yanqiw

Coordination Memory MCP

by yanqiw

get_human_brief

Reconstruct the most recent human-readable status brief from the event ledger for a specified run, giving you an up-to-date summary of coordination progress.

Instructions

Reconstruct the latest human-facing Brief from the event ledger.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.6

TDQS

C2.8/5.0
Behavior2/5

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

Annotations are absent, so the description must carry the burden of behavioral disclosure. 'Reconstruct from the event ledger' implies a deterministic, read-only derivation rather than a direct stored-object lookup, which is useful, but it does not disclose side effects, failure behavior, data availability, or whether reconstruction can fail when the ledger is incomplete.

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?

The description is a single sentence with no filler. The key action and target are front-loaded, and every word contributes to the core meaning.

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?

Although an output schema exists so return values do not need to be described, the tool lacks annotations, usage guidance, and parameter semantics. For a simple one-parameter tool an agent can probably attempt the call, but it is not fully equipped to know when this tool is the right choice or what run_id must represent.

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 never mentions the only parameter, run_id. The property name and title give some basic meaning, but the description adds no value about what run_id refers to, how to obtain it, or how it affects the reconstruction.

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?

The description names a specific verb ('Reconstruct'), a specific resource ('latest human-facing Brief'), and the source ('event ledger'), so an agent can tell this is a read-model reconstruction rather than a generic fetch. It does not explicitly distinguish it from sibling getters like get_run_detail or get_snapshot, but the 'human-facing Brief' phrasing narrows it meaningfully.

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?

The description gives no indication of when to use this tool versus alternatives such as get_run_detail, get_snapshot, or get_team_board. It also does not mention any prerequisites, such as needing an active run or recorded events, so an agent is left to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.