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memory_log

Append a timestamped event to project log to preserve meaningful steps and maintain cross-session context. Call after key milestones for continuity.

Instructions

Append single timestamped event to log. Call frequently after meaningful steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoOptional category tags.
eventYesOne-line event description.
clientNoOptional client identifier (e.g. 'claude', 'chatgpt', 'qwen').
project_idYesProject ID.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.8/5.0
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 discloses that the tool appends a single timestamped event, implying a non-destructive write. It does not mention return values, failure modes, or idempotency, but for a simple logging operation the core behavior is adequately conveyed.

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 short sentences, front-loading the main action ('Append single timestamped event to log') and following with concise usage guidance. Every word earns its place.

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?

For a low-complexity, well-schema'd tool, the description plus schema is largely sufficient. The usage guidance adds practical context. A brief note distinguishing this from memory_store or append_file would improve completeness, but nothing critical is missing.

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%, with all four parameters documented in the input schema. The description adds no parameter-specific detail beyond the schema, so the baseline of 3 applies.

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 states a specific verb and resource: 'Append single timestamped event to log.' It is not a tautology and clearly indicates what the tool does. It does not explicitly differentiate from sibling memory/logging tools, but the action and object are concrete enough for a clear understanding.

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 provides clear usage context with 'Call frequently after meaningful steps,' telling the agent when to use the tool. It does not mention when not to use it or name alternatives, so it stops short of full explicit routing guidance.

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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