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my_learning

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

Input Schema

TableJSON 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?

With no annotations, the description carries the full burden. It usefully discloses the data-scope constraint '(counts only; never your encrypted house)', which tells the agent the result is aggregated and privacy-limited. It does not explicitly confirm this is a read-only operation, nor describe auth, errors, or rate behavior.

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 with the resource front-loaded and a clarifying parenthetical at the end. Every element earns its place, though the run-on listing of returned categories is slightly heavy.

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?

There is no output schema, so the description must convey return values, and it does by listing the returned categories and noting they are counts only. What is missing is usage context (when to prefer this over get_memory or my_credits), but the return-shape coverage is solid for a no-annotation, single-optional-param read tool.

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% for the single optional api_key parameter, so the schema already handles parameter documentation. The description adds no parameter-level detail, which is acceptable given coverage but earns no extra credit.

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 enumerates exactly what the tool returns: skills used/published, topics, home growth, and jobs by tag. This makes the resource and scope clear and distinguishes it from single-resource siblings like get_skill or get_home. However, it never states a concrete verb (list/retrieve/summarize), leaving the operation implied.

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 when-to-use or when-not-to-use guidance, and no alternatives are named. The agent must infer from the content list alone that this is a personal aggregate/overview tool rather than a lookup for a specific record.

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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