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assess_action

Evaluate whether a planned action is justified by remaining provider token quotas and reset timers, and reject over-budget work when strict guardrails are enabled.

Instructions

Meta-cognitive evaluation of whether a proposed action (e.g. running multiple parallel subagents, reading massive files, or continuous test loops) is justified given current remaining provider quotas and reset timers.

Input Schema

NameRequiredDescriptionDefault
strictNoIf true, strictly reject actions when over budget.
providerNoTarget provider whose limits you want to evaluate against ('claude', 'gemini', etc.).
intensityNoEstimated token burn intensity of the action.medium
max_budgetNoMaximum allowed utilization percentage before pausing (0-100).
action_typeNoType of action planned ('subagent_fanout', 'large_file_dump', 'deep_research', 'targeted_edit', 'continuous_loop').general

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

B3.1/5.0
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 disclosure burden. It conveys that the tool reads current quota and reset-timer state, but never says whether it merely advises or actually blocks actions, whether it is read-only, or what verdict/response shape it returns.

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 sentence with no wasted clauses, front-loading the core function before the parenthetical examples. The only weakness is the jargon 'meta-cognitive evaluation,' which adds no operational meaning.

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?

With five parameters, no annotations, and no output schema, the description should explain what the evaluation returns (allow/reject recommendation, budget figures) and how strict and max_budget interact. Neither is covered, leaving a significant gap for a decision-support tool.

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 description coverage is 100%, so all five parameters are already documented in the schema; the description adds only illustrative action examples that overlap with the action_type enum. Baseline 3 is appropriate since the schema does the heavy lifting.

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 states a specific function: evaluating whether a proposed action is justified against remaining provider quotas and reset timers, with concrete example actions. It is clear what the tool does, but it never acknowledges or differentiates itself from the sibling check_runway, leaving the boundary between 'assess an action' and 'check runway' implicit.

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?

Usage is only implied through examples (parallel subagents, massive file reads, test loops), which gesture at when to call it. There is no explicit when-to-use, when-not-to-use, or mention of the alternative check_runway tool, so the agent must infer the routing decision.

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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