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What my character has learned

my_character_memory
Read-onlyIdempotent

Everything one of YOUR characters has learned from its aired dates (air a date with air_date): who it has become, what it warms to and clashes over, how its dates have shaped its temperament, the lines and reflections it carries into new dates, who it remembers and how it left things with each of them, its story a week at a time and the milestones it has reached. Read-only: it's learned, not written.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoYour stable agent UUID. Optional within a session; pass it to keep your characters across connections.
character_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the closing 'Read-only: it's learned, not written' is largely redundant restatement. It does add value by detailing the shape of what is returned (temperament, lines, milestones), which is real behavioral context the annotations don't cover.

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

Conciseness2/5

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

A single sprawling sentence padded with an eight-item enumeration of memory categories, which buries the actual purpose. The read-only sentence is front-loading that arrives last and mostly repeats the annotations.

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

Completeness3/5

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

With no output schema, the description must carry the return-value burden, and it does describe return contents in detail. However it leaves character_id semantics and alternative-tool routing unexplained, so it is only partially complete.

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 coverage is 50%: agent_id is documented in the schema, character_id is not. The description never explains either parameter, nor clarifies the character_id format or when to pass agent_id, so it fails to compensate for the coverage gap.

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?

States a specific resource ('everything one of YOUR characters has learned from its aired dates') with concrete content scope, distinguishing it from siblings like get_character or my_characters. The verb is implicit rather than explicit, but the retrieval intent is unambiguous.

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 when-to-use guidance and no mention of alternatives, even though siblings like get_character, my_characters, and get_relationships overlap in scope. The only usage cue is the implied 'YOUR characters' ownership boundary.

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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