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Glama

update_learner_profile

Persist a learner's rating band, teaching preferences, and voice settings to keep chess tutoring sessions personalized.

Instructions

Persist a learner's rating band, teaching preferences, and voice settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleNosocratic
voiceNoen
detailNobrief
ratingNo
learner_idYes
speech_rateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it only says 'Persist'. It does not clarify whether this creates or updates, whether omitted optional fields reset to their schema defaults or remain unchanged (critical given every non-id param has a default), or what permissions are needed. For a mutation tool with zero annotation coverage this is a significant gap.

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 front-loaded sentence with no filler; the verb and scope come first. It is efficient, though arguably too terse to be genuinely useful.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but for a six-parameter mutation tool with no annotations and no parameter documentation the description is far too thin. The default-vs-unchanged question for omitted fields is the most important thing an agent needs and it is absent.

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%, so the description must compensate. It only loosely groups the fields ('rating band', 'teaching preferences', 'voice settings') and never explains style, detail, voice, speech_rate, or the required learner_id, leaving five of six parameters without semantic guidance.

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 verb ('Persist') and resource (a learner's profile) and enumerates the field groups being written: rating band, teaching preferences, voice settings. An agent can tell it is a write tool for learner configuration, though nothing distinguishes it from nearby siblings like get_learner_progress or record_training_attempt.

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 tool, no preconditions, and no named alternative. With siblings such as get_learner_progress and record_training_attempt in the same family, the agent gets no routing guidance.

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