Skip to main content
Glama

track_latent_skill

Track and increment recurrence of latent skill opportunities to build a record of repeated use, enabling better skill recognition and adaptation across sessions.

Instructions

Explicitly track or increment recurrence for a latent skill opportunity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tagsNo
scopeNoproject
descriptionYes
evidence_summaryNoManual user invocation via MCP.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description fully bears responsibility. It implies mutation ('increment recurrence') but does not disclose side effects, idempotency, or authorization needs.

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?

The description is very short (9 words) but severely underspecified. It is not concise in a helpful way; it lacks essential detail.

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?

With 5 parameters, an output schema, and many sibling tools, the description is far from complete. It fails to explain core behavior, state changes, or relationship to other skill tools.

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%, and the description provides no explanation of the 5 parameters (name, description, tags, scope, evidence_summary), leaving the agent with no semantic guidance.

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

Purpose3/5

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

The description states the action ('track or increment recurrence') and resource ('latent skill opportunity'), but is vague and does not differentiate from siblings like 'create_skill' or 'activate_skill'.

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?

No guidance on when to use this tool vs alternatives. The description does not mention context, prerequisites, or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/YanAmorelli/universal-memory'

If you have feedback or need assistance with the MCP directory API, please join our Discord server