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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds one useful fact ('inherits the job's root'), but says nothing about permissions, side effects, timeout behavior, or what the required feedback does to the session.

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 front-loaded sentence with no wasted words, but its extreme brevity is under-specification rather than efficiency. It is appropriately terse in form yet too sparse for the tool's complexity.

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?

An output schema exists, so return values need not be explained. However, for a 7-parameter, 4-required tool with no annotations and 0% schema coverage, the description leaves the agent without the semantics needed to invoke it correctly.

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 0% across 7 parameters, including required ones like job_id, execution_session_id, feedback, and cwd. The description documents none of them — not the meaning of 'feedback', the model/effort defaults, or the timeout behavior — so it fails to compensate for the coverage gap.

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 verb+resource ('Resume this job's CC-1 session') is present, but 'CC-1 session' is undefined jargon and nothing distinguishes it from siblings like execute_task, run_job, or run_jobs. An agent can guess this continues an existing job rather than starting one, but the purpose remains vague.

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?

There is no statement of when to use this tool versus execute_task, run_job, or review_task, and no prerequisites are given. The only hint is the word 'Resume', which implies continuing an existing session but never says so explicitly or names the alternative.

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?

No annotations are provided, so the description carries the full disclosure burden. It does reveal two behaviors: no review step runs, and resumability requires a confirmed session. But for an executor tool it omits critical context such as side effects, permissions, whether commands are destructive, timeout behavior, and what 'confirmed session' means. The disclosure is far short of what a safe invocation requires.

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 front-loaded sentence with no filler; the key qualifier ('without review') and the resumability condition come early. It is efficient, though arguably under-sized for an eight-parameter tool, which is penalized in other dimensions rather than here.

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 eight parameters, no annotations, and 0% schema description coverage, this description is too thin. An output schema exists so return values need not be explained, but the description still omits parameter meaning, selection criteria, and behavioral constraints. It is not complete enough for an agent to invoke the tool correctly without external context.

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 0% (only project_root carries a description), and the description supplies nothing about the eight parameters: job_id, task, cwd, model, effort, acceptance, timeout_sec, or project_root. Required vs optional, the effort enum, and the trusted-root constraint of project_root are left entirely to the schema, with no compensating explanation. With high parameter count and zero coverage, this is a severe gap.

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 verb and resource ('Run one CC task') and adds a scoping qualifier ('without review'), so the general action is clear. However, 'CC task' is unexplained jargon, and the description does not distinguish this tool from close siblings like run_job, run_jobs, or review_task beyond the vague 'without review' contrast. An agent cannot confidently tell which of the run/review tools to pick from this text alone.

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?

There is no explicit when-to-use or when-not-to-use guidance. 'Without review' faintly implies an alternative to review_task and 'only a confirmed session is resumable' hints at a resumption precondition, but neither names a sibling nor states a selection rule. The agent must infer routing from tool names.

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 behavioral burden. It does disclose that this reads persisted state and makes 'no CC call,' which suggests a side-effect-free read, but it omits permissions, side effects, and other operational constraints.

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?

The description is a single front-loaded sentence with no filler. However, the phrase 'no CC call' is cryptic and would benefit from clarification rather than being left as unexplained shorthand.

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?

An output schema exists, so return values need not be explained. But with no annotations, 0% schema description coverage, and two required parameters, the description is too sparse to fully guide correct invocation.

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 0%, and the description does not explain either required parameter. The meaning of job_id is somewhat implied by 'job state,' but cwd is never addressed, so the description adds no useful parameter semantics.

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 verb and resource: read persisted job state, including sessions and stage statuses. It distinguishes the operation from executing a job, though it does not mention sibling tools by name.

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?

There is no explicit guidance on when to use this tool versus run_job, run_jobs, or the other task-related siblings. The read-only framing implies inspection, but conditions and alternatives are absent.

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, and it does disclose one meaningful trait: routing to ping does not trigger a CC call, so it is side-effect-free and cheap. It does not say whether it is safe to call at any frequency, whether it requires the server to be running, or what it does not touch.

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 short line with the returned fields front-loaded before the 'no CC call' qualifier. It is efficient, though the abbreviations ('CC', 'SDK/CLI metadata') are terse enough to be slightly ambiguous to an agent unfamiliar with the codebase.

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?

An output schema exists, so return values need no prose, and there are no parameters to document. For a zero-arg diagnostic tool the description supplies what is needed to call it correctly; only the missing usage routing and the cryptic 'CC' abbreviation hold it below 5.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate on the input side, and it correctly says nothing extra about arguments.

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 names the concrete payload (pid/version, SDK/CLI metadata, buffer size), so an agent can infer this is a lightweight diagnostic/health probe. But the phrasing is telegraphic, and it never distinguishes this from siblings like get_job_status or execute_task, whose names give no hint that ping is the cheap liveness check.

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?

There is no explicit when-to-use guidance. The trailing 'no CC call' implies a cheap probe that avoids a model invocation, which is a usable hint, but the description never states when to prefer ping over get_job_status or the run/execute tools.

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, and it does disclose two real behavioral traits: the reviewer is restricted to Read/Grep/Glob (read-only, cannot mutate) and it will never repair issues found. That is meaningful. It omits other behavioral facts an agent needs, such as the trust/permission model, timeout behavior, and what the review 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?

The single semicolon-delimited clause is front-loaded and waste-free, but it is under-specified rather than concise for a tool with 8 parameters and no annotations. The brevity is efficient but leaves core meaning unstated.

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?

An output schema exists so return values need not be explained, but for an 8-parameter, 4-required task-review tool with zero annotations and 0% schema coverage, the description is far too thin. Required inputs beyond 'acceptance', the meaning of 'fresh' context, and the relationship to sibling task tools are all missing.

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 0% across 8 parameters (4 required), so the description must compensate and largely does not. It covers only 'acceptance' ('acceptance is required'); job_id, original_task, cwd, model, timeout_sec, project_root, and execution_summary get no explanation of format or role. Only project_root carries an inline schema description.

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 verb (review) and a constraint set (Read/Grep/Glob-only, fresh context, never repairs), which hints at a read-only code review task. However, 'CC' is unexplained jargon and the description never names the resource being reviewed (a job/task) or distinguishes itself from siblings like execute_task or run_job beyond the word 'review'. An agent must infer quite a bit.

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?

The sentence 'acceptance is required; never repairs' states a precondition and a hard limitation but gives no when-to-use guidance relative to siblings (execute_task, continue_task, run_job). Nothing tells the agent when to choose review_task over running or continuing a task.

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?

No annotations are provided, so the description carries the full behavioral burden. It reveals one conditional behavior, that review=true with nonempty acceptance adds a fresh review, but omits execution semantics, timeout behavior, trust requirements, side effects, and what 'Execute' actually mutates.

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?

The single sentence has no filler, but it is under-specified for a nine-parameter execution tool and reads like a fragment. Brevity here reflects missing content rather than disciplined concision.

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 no annotations, nine parameters, and 0% schema description coverage, the description is not complete enough for correct invocation. It omits usage context, parameter meanings, side effects, and safety constraints; the output schema does not offset those gaps.

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 0% across 9 parameters. The description references review and acceptance only in one conditional and says nothing about job_id, task, cwd, model, effort, timeout_sec, or project_root, so it fails to compensate for the schema gap.

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 opens with 'Execute' but never names the resource or what is being executed. It does not distinguish run_job from siblings such as execute_task, run_jobs, or review_task, leaving the object of the verb to be inferred from the tool name alone.

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?

There is no guidance on when to use run_job versus execute_task, review_task, continue_task, or run_jobs. The review/acceptance conditional describes a behavior, not selection criteria or exclusions.

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. 'bounded concurrency' alludes to the concurrency limit, but nothing is said about error/partial-failure behavior, timeouts (timeout_sec defaults to 3600), isolation, or side effects of actually executing tasks.

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 tight sentence with the operation front-loaded and no filler. It is efficient, though its brevity reflects under-specification rather than disciplined conciseness.

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?

An output schema exists, so return values need not be described. But for a tool that accepts a nested array of job specs and spawns execution, the description omits concurrency defaults, per-job timeout behavior, failure semantics, and permissions, which is inadequate given zero annotations.

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 0% across both top-level params and the nested JobSpec fields. The description only obliquely maps to max_concurrency ('bounded concurrency') and job independence, leaving task, cwd, model, effort, review, acceptance, timeout_sec, and project_root undocumented.

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 ('Run') and resource ('job batch'), and 'batch' implicitly contrasts with the singular sibling run_job. However, it never names the alternative tool, so differentiation requires inference from the term 'batch'.

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?

'already-independent' hints at a constraint (do not batch dependent jobs) but never states when to use run_jobs versus run_job, execute_task, or continue_task. No explicit context or exclusions are provided.

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