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RiasJ1Dar

glm-orchestrator

by RiasJ1Dar

Запам'ятати факт

memory_add

Add a fact to project memory to preserve decisions, environment constraints, and agreements across sessions. Use for durable knowledge, not for details visible in code.

Instructions

Дописує факт у пам'ять проєкту. Годиться для того, що має пережити сесію: рішення, обмеження середовища, домовленості. Не для того, що видно з коду.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
factYesОдин факт, одним реченням
tagsNoМітки, напр. ["середовище"]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It does disclose that this is an append operation and that stored facts persist beyond the session. However, it does not mention return behavior, errors, permissions, or how facts relate to memory_read, leaving some behavioral gaps.

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 two compact sentences: the first states the operation, and the second gives use cases and an exclusion. Every sentence earns its place, with no redundancy or filler.

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

Completeness5/5

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

For a simple two-parameter append tool, the description and schema together cover everything needed to call it correctly: what it does, when to use it, when not to use it, and how to format the fact and tags. No output schema is needed for this kind of operation.

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 the schema already documents both parameters: fact is one sentence and tags are labels like ["середовище"]. The description adds no parameter-specific meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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

Purpose5/5

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

The description states a specific verb and resource: 'Дописує факт у пам'ять проєкту' (appends a fact to project memory). It also differentiates the tool from code-related siblings by explicitly saying it is not for what is visible from the code, making its scope unambiguous.

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

Usage Guidelines4/5

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

The description gives clear usage context: use it for decisions, environment constraints, and agreements that must survive the session, and do not use it for code-visible facts. It provides both positive and negative guidance, though it does not explicitly name alternative tools.

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