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resolve_approvals

Approve or deny the integration actions a run is paused on (status needs_input with pending_approval_ids). Submit a decision for every pending id at once; the run resumes in the background.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYesA run id (trun_...).
approvalsYesOne decision per pending approval id — the run stays paused until every one is answered.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
objectYes
resultNo
reusedNo
statusYes
chat_idNo
summaryNo
task_idYes
task_nameNo
created_atYes
started_atNo
completed_atNo
error_messageNo
credits_consumedNo
pending_approval_idsNo

TDQS

A4.3/5.0
Behavior4/5

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

The description discloses key behaviors: 'the run resumes in the background' and the schema notes 'the run stays paused until every one is answered.' These go beyond the annotations, which only indicate readOnly=false and destructive=false, adding value about side effects. However, it could have mentioned idempotency or permissions, though not required.

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

Conciseness5/5

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

The description is two sentences, front-loading the core action and then explaining the requirement. Every word earns its place, with no redundancy or filler, making it highly concise and well-structured.

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?

The description covers the preconditions (needs_input with pending_approval_ids), the required action (submit decisions for all), and the outcome (run resumes in background). With an output schema present for return values, nothing essential is missing for an agent to call this correctly.

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 coverage is 100%, so all parameters are already well-documented in the input schema. The description paraphrases the schema's 'Submit a decision for every pending id at once' but does not add new parameter-level detail, keeping it at the baseline of 3.

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?

The description clearly states the tool's purpose: 'Approve or deny the integration actions a run is paused on' along with the specific status 'needs_input with pending_approval_ids.' This verb+resource combination is unique among siblings, which include list/get/run operations, making it easily distinguishable.

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?

The description provides clear context: it should be used when a run is paused with pending approvals, and it explicitly instructs to 'Submit a decision for every pending id at once,' which defines the expected usage. However, it does not explicitly mention when not to use it or name alternatives, so it lacks explicit exclusions.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool maps to a distinct resource-action pair: REST execution, endpoint discovery, chat/run lifecycle, approvals, and identity. Even similar tools like get_run and wait_for_run are clearly separated by blocking vs. non-blocking behavior.

Naming Consistency4/5

Most tools follow a clear snake_case verb_noun pattern (get_run, list_chats, send_message, cancel_run). Minor deviations like api_execute, api_search, ask_crevio, and whoami keep the set readable but prevent a perfect consistency score.

Tool Count5/5

Fourteen tools is within the well-scoped range and each tool has a meaningful role across API access, run management, chat interaction, approvals, and account identity. No obvious bloat or redundant duplicates.

Completeness4/5

The generic api_execute tool provides broad REST API coverage, and run/chat lifecycle tools are nearly complete. The ask_crevio description references a start_task tool that does not exist, though start_chat offers a workaround for launching runs without waiting.

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