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memory_write

memory_write

Instructions

memory_write

Input Schema

NameRequiredDescriptionDefault
bodyNo
kindNo
textYes
scopeNo
fieldsNo
sourceNo
supersedesNo
client_op_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.5.0
    • addedInput schema / properties / body
      Added value: +{
      +  "type": "string"
      +}
  2. First observedv0.1.0

TDQS

D1/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden and discloses nothing: no mutation semantics, no permission requirements, no effect of 'supersedes', and no reversibility info. With a write operation and zero annotation coverage this is a complete gap.

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

Conciseness1/5

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

This is not conciseness but under-specification: a single word that conveys no structure or front-loaded information. It fails to earn even that single token since it merely echoes the name.

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 an 8-parameter mutation tool with nested objects, no output schema, and no annotations, the description is entirely inadequate. Nothing an agent needs to call it correctly is present.

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

Parameters1/5

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

Schema description coverage is 0% across 8 parameters, including nested objects (fields, source) and ambiguous ones like kind, scope, and supersedes. The description adds no meaning whatsoever, so all parameter semantics are undocumented.

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

Purpose1/5

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

Tautological: description restates name/title.

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?

There is no guidance on when to use this tool versus the four sibling memory tools, nor any prerequisites, exclusions, or context for selection. An agent must guess entirely from the name.

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