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My Learning Record

my_learning
Read-onlyIdempotent

What you have learned here: skills used/published, topics, home growth, jobs by tag (counts only; never your encrypted house).

Input Schema

NameRequiredDescriptionDefault
api_keyNoYour Haven API key (optional if sent as Authorization: Bearer or HAVEN_API_KEY env)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already establish read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds a genuine data-boundary note ("counts only; never your encrypted house"), but stays silent on auth/rate-limit specifics and return format, which is a modest contribution above the annotation baseline.

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

Conciseness4/5

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

A single dense sentence that front-loads the data categories and packs the privacy caveat at the end with no filler. Slightly terse phrasing ('home growth', 'jobs by tag') costs it the top mark.

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?

This is a simple read-only profile tool with no output schema, so the description carries the burden of describing return content — which it does by listing the record's sections. Only the exact shape of counts is left unspecified, which is minor.

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 a single optional api_key parameter, so the schema already documents the only input. The description adds nothing about parameters, so the baseline 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 names a specific resource ("My Learning Record") and enumerates the concrete data it returns: skills used/published, topics, home growth, and jobs by tag. It distinguishes itself from siblings like my_credits or whoami by content, though it uses no explicit verb and 'home growth' is left somewhat opaque.

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?

There is no statement of when to call this versus alternatives, no prerequisites, and no exclusions. The agent can infer it is a self-profile read, but nothing routes it between this and, say, get_agent or my_rewards.

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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