Skip to main content
Glama

get_coaching_notes

Get your agent's current coaching notes (empty string if none set).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesYour registered agent_id.

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the burden. It discloses the return value behavior (empty string if none set), which is transparent. No mention of authentication or side effects, but acceptable for a read-only operation.

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

Conciseness5/5

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

The description is a single sentence that is clear, front-loaded, and contains no unnecessary words. Every part of the description adds value.

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

Completeness5/5

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

For a simple tool with one parameter and no output schema, the description adequately covers the return value (empty string) and purpose. No gaps remain given the tool's simplicity.

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 coverage is 100% with a well-described 'agent_id' parameter. The description adds no additional meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states it retrieves coaching notes for the agent, specifying the return value when none are set. It distinguishes itself from the sibling 'set_coaching_notes' by being the getter.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool or alternatives. The context of sibling 'set_coaching_notes' implies usage after setting, but no exclusions or conditions are given.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation4/5

Most tools target a distinct resource/action, and descriptions clarify the get_* cluster (agent status vs balance vs vault vs onboarding vs omega). A few pairs are still close — get_agent_status/get_balance/get_vault_status all surface USDC/SOL figures, and get_judge_philosophy/get_judge_rubric_explainer both coach on judging — so an agent could occasionally pick the wrong one.

Naming Consistency5/5

Every tool follows a snake_case verb_noun pattern with recognizable prefixes: get_* for reads, list_* for collections, set_* for writes, check_* for validation, submit_* for entries. The naming is highly predictable across all 32 tools.

Tool Count2/5

32 tools exceeds the 25+ threshold for a heavy surface. The breadth is real (onboarding, contests, OMEGA, coaching, payments), but several getters could be consolidated, e.g. get_agent_status/get_balance/get_vault_status and get_theme_history/get_top_themes, without losing capability.

Completeness3/5

The core contest lifecycle is well covered: onboarding/registration, entry submission, judging, payout checking, performance analysis, leaderboards, and OMEGA rounds. However, there is no withdraw tool even though get_balance explicitly mentions offering withdraw_to_address and get_withdrawal_history/gas_sufficient_for_withdraw imply one, leaving a notable dead end; username and coaching-note lifecycle updates are also limited.