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whoami

Read-only

Identify which Gryzzly team member the API key acts as, what actions are allowed, and time logged this week. Call first to confirm the active person before logging time.

Instructions

Who this server declares time for, what it is allowed to do, and how much time is already logged this week. Call it first: Gryzzly API keys belong to a team, not to a person, so the person has to be named by configuration, and this is where you see which one was.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoThe user's role in Gryzzly.
userYesThe user this server declares time for.
toolsetsYesThe toolsets this server exposes.
read_onlyYesTrue when every write tool was withheld.
this_weekYesThis week, so a client knows where it stands before logging anything.
team_usersYesHow many users the API key can see.
identified_byNoWhich environment variable named this user, if any did.
default_projectNoThe project used when a tool omits one.
timesheet_approved_untilNoThe date until which this user's times are approved and locked.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With readOnlyHint already declaring this a safe read, the description adds genuinely useful behavioral context: the identity comes from server configuration rather than the API key, and the response includes permission scope plus the current week's logged time. It stops short of describing response structure, but the output schema covers that.

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

Conciseness3/5

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

Two sentences that are mostly front-loaded, but the phrasing is indirect and literary ('Who this server declares time for'), and the second sentence is a long clause chain. The point could be made in fewer, plainer words.

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?

Given an output schema and readOnly/openWorld annotations, the description supplies the missing context an agent needs — that identity is configured rather than derived from the key — and tells the agent to call it first. It is essentially complete for a no-parameter identity probe.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to clarify and no schema gap to compensate for.

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 what the tool surfaces — the acting identity, its permissions, and time logged this week — which is enough to distinguish it from the CRUD siblings. However, it lacks a clean verb and relies on roundabout phrasing ('Who this server declares time for'), so the purpose is clear but not crisp.

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

Usage Guidelines5/5

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

It explicitly instructs 'Call it first' and explains why: Gryzzly API keys belong to a team, not a person, so the identity must be named via configuration. That is an unambiguous when-to-use directive with rationale, which is exactly what usage guidance should do.

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