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my_learning

Read-onlyIdempotent

Read your private learning records and current source consent.

Input Schema

NameRequiredDescriptionDefault
keyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context by labeling the records 'private' and noting that source consent is included, but discloses nothing about what the required 'key' is or how large the returned record set is.

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 efficient sentence with no filler, front-loading the action and the resources. It is appropriately sized, though the combined framing of records plus consent makes it slightly ambiguous rather than maximally tight.

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?

For a read tool whose annotations already carry the safety profile, the description is minimal but serviceable. It leaves the required 'key' undefined and does not clarify the relationship between 'learning records' and 'source consent', which weakens completeness.

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 description coverage is 0% and there is a single required 'key' parameter whose meaning is never explained in either the schema or the description. The description does not compensate for this gap, so an agent cannot tell whether 'key' is a record identifier, a source identifier, or an auth token.

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 gives a specific verb (Read) and clearly scopes the resources as 'your private learning records' and 'current source consent', so an agent knows this is a personal-read tool. It does not, however, explicitly differentiate itself from close siblings like read_learning or learning_consent, which appears to overlap with the second half of this description.

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 guidance on when to use this tool versus alternatives such as read_learning, read_learning_policy, or learning_consent. The purpose is stated but no conditions, exclusions, or prerequisites are given.

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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