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company_memory

company_memory
Read-onlyIdempotent

star365 company memory, public scope: culture, decisions, learnings. Returns the publishing and wording policy (disclaimers, no-overclaim rule, political-content approval gate) and learnings accumulated automatically from missions (source=wrs-auto). Internal guidance and infrastructure details are not included. / 회사 메모리(공개 범위). 내부 지침·인프라 정보는 포함되지 않습니다.

Input 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 cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds real value beyond them by disclosing data provenance and boundaries: content comes from missions with source=wrs-auto, and internal guidance/infrastructure details are deliberately excluded. It still says nothing about freshness, pagination, or volume, so it is not a 5.

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

Conciseness4/5

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

Scope is front-loaded and the content list is compact. The bilingual restatement of the exclusion clause is mild redundancy, but each clause still carries meaning for its audience. No wasted framing or 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?

With no input parameters and no output schema, the description carries the burden of conveying what comes back, and it does so concretely (policy items plus wrs-auto learnings) while bounding the scope. An agent knows enough to invoke it correctly; a brief hint about recency or output shape would make it complete.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool is 4. No parameters are undocumented.

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 resource ('company memory, public scope') and enumerates the content returned: publishing/wording policy (disclaimers, no-overclaim rule, political-content approval gate) and auto-accumulated learnings. An agent can tell this is a read of a curated memory store rather than a general search. It lacks an explicit verb ('retrieve'/'read') and does not distinguish itself from any named sibling, keeping it below a 5.

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 statement of when to call this versus alternatives such as members_north_star, hq_health, or server_status. The only routing hint is the negative scope ('internal guidance and infrastructure details are not included'), which tells the agent what it will NOT get but not what situation warrants invoking it.

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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