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devtune_get_agent_picks_schedule

Read-onlyIdempotent

Read the project test cadence, next UTC run, newest skipped period with reason, action and action_href, and the current paid-test estimate per run and for the next calendar month against plan credits. Every plan can schedule. Requires Agent Picks and visibility.read. last_skipped is null when the cadence is off or the newest period was not skipped. Reasons include insufficient_credits, permission_changed, no_settings, estimate_changed and agent_not_in_plan (the Agent Picks plan of the account includes none of the saved agents; action view_plans links to billing); follow action_href to recover. test_in_flight and unavailable have null action and action_href because nothing needs fixing. Read this estimate before setting a schedule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the readOnly/idempotent annotations by disclosing return-value semantics: last_skipped is null when cadence is off or unskipped, the full enum of skip reasons with meanings, that test_in_flight/unavailable have null action/action_href, and that action_href is the recovery path. This is unusually rich behavioral context for a read tool.

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?

Front-loaded with the resource and returned fields, then progressively drills into edge-case semantics. It is dense and long, but for a no-output-schema read tool almost every clause (null rules, reason enums, recovery link) earns its place; only the parenthetical reason glosses edge toward verbosity.

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?

With no output schema, the description carries the full burden of describing return values, and it does so completely — cadence, next run, skipped period, reasons, actions, and credit estimates. Combined with annotations covering the safety profile, an agent has everything needed to call and interpret it.

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?

Zero parameters, so the baseline is 4; there is nothing for the description to disambiguate, and it correctly adds no parameter-level noise.

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?

States a specific verb (Read) and resource (the project test cadence and paid-test estimate), then enumerates the exact fields returned: next UTC run, newest skipped period with reason, action/action_href, and per-run and monthly credit estimate. This is clearly distinguishable from the write-side sibling devtune_set_agent_picks_schedule and from other agent-picks getters.

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

Usage Guidelines4/5

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

Explicitly tells the agent when to use it ('Read this estimate before setting a schedule') and states the prerequisites (Agent Picks and visibility.read), which routes the agent relative to the set-schedule sibling. It lacks an explicit 'when not to use' or named alternative beyond the scheduling pointer.

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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