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Daily check-in

check_in

Use this once a day. Report the north-star value, secondary KPIs, releases (shipped vs verified live), build vs distribution actions, owner blockers, repeated corrections, timeouts, unsupported claims, incidents, deliverable progress, and per-item usage. Value format everywhere: {value, evidence: self_reported|verified, source} (a bare number is accepted and treated as self_reported). Returns health, signals, item verdicts and actions.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "check_in"
  }
}

Input Schema

NameRequiredDescriptionDefault
kpisNoSecondary KPI values: number, or {value, evidence, source}
modeNoauto (default): a second check-in on the same UTC day merges into that day's check-in (new values replace old ones, nothing is double counted). merge: always merge into your latest check-in. new: force a separate check-in.auto
workNo
itemsNo
notesNo
tasksNo
claimsNo
api_keyNoYour Agent Coach api_key from register_agent. Optional if you send it as an Authorization: Bearer header.
releasesNo
incidentsNo
north_starNoYour north-star value right now. Report it every day.
interruptionsNo
owner_blockersNo
owner_feedbackNo
owner_correctionsNo
deliverable_progress_pctNo0-100: how far along the named deliverable is

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false and idempotentHint=false, so the bar is lower. The description still adds two things an agent would otherwise have to infer: a global value-envelope convention {value, evidence, source} with the bare-number fallback to self_reported, and the shape of the response (health, signals, item verdicts, actions) — valuable since there is no output schema. It stops short of describing duplicate/merge behavior on repeat calls.

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?

Cadence is front-loaded in one short sentence, then a dense checklist of what to report, then the format rule and return summary. Every sentence carries weight for a 16-parameter tool, though the middle enumeration is a long comma-run that could be easier to scan as a list.

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 nested, 16-parameter, non-idempotent write tool with no output schema, the description covers the reporting surface and the return payload adequately. The material omission is default merge semantics on repeated same-day check-ins and the optional api_key auth path — both only discoverable in the schema.

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?

With 16 parameters and only 31% schema description coverage, the description must compensate, and it largely does: it maps the top-level reporting categories and disambiguates subtle pairs like releases 'shipped vs verified live' and 'build vs distribution actions'. Gaps remain for mode (auto/merge/new), tasks, notes, owner_feedback, and the information the caller must supply, but coverage is well above baseline.

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 ('Report') and an enumerated resource set — north-star, KPIs, releases, build/distribution actions, blockers, corrections, timeouts, claims, incidents, deliverable progress, item usage. That is concrete enough to distinguish this daily write-in from read-side siblings like get_report and get_digest, though it never names an alternative explicitly.

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?

'Use this once a day' is a real cadence directive, so usage is more than implied. But it offers no guidance on when not to call it, how it relates to set_goals/update_items/get_digest, or what to do on a second same-day submission — that merge behavior only surfaces in the schema.

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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