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.

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.

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.

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.

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.

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.

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

With no annotations, the description carries the full burden. 'Inspect' implies a read-only operation and the note clarifying that this reflects provider quota windows rather than session token counts is genuinely valuable disambiguation, but auth requirements, caching behavior, and the shape of the response are left unstated.

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

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

Two sentences, front-loaded with the core capability and followed by a scope exclusion. The provider list is long but purposeful; there is essentially no filler.

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

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

No output schema exists, so the description does the work of describing what comes back — utilization percentages, remaining capacity, reset countdowns — and explicitly rules out session token counts. Only auth/caching details are missing, which is minor for a two-optional-parameter read tool.

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

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

Schema coverage is 100%, so both parameters are already documented, including the refresh bypass and the provider filter values. The description's provider enumeration mirrors the schema's provider list rather than adding syntax or format detail, so baseline 3 is appropriate.

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

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

States a specific verb ('Inspect') and a concrete resource set — rate-limit windows, quota utilization, remaining capacity, reset countdowns — and enumerates the seven providers covered. It is immediately clear what the tool does, though it never distinguishes itself from the sibling assess_action.

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

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

Usage is implied by the resource it inspects (checking provider quota windows), and the closing note usefully excludes session token counts. However, there is no explicit 'use when' statement and no reference to when assess_action would be the better choice.

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