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Act in a tool the client has connected

call_integration
Destructive

Perform one call against a system this client has connected — post a Slack reply, comment on a GitHub pull request, read a Linear issue, update a Notion page. You must hold an active lease on a task in that client: the task decides which workspace you can reach, and every call is recorded on the task's client as an integration event. Call list_integrations first to see what is connected and what each connection allows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoJSON request body, or the action's arguments.
queryNoQuery string parameters.
actionYesNative connections: the provider endpoint path, e.g. '/chat.postMessage' or '/repos/acme/site/issues'. Gateway connections: the action or tool name.
methodNoHTTP method for native connections. Default POST.
task_idYesA task you hold the lease on. Its client decides which connection is used.
providerYesWhich connected system to call, e.g. 'slack', 'linear', 'github', 'notion', 'jira'.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already signal readOnlyHint=false and destructiveHint=true, and the description adds meaningful behavioral context: every call is recorded as an integration event and the task's client determines which workspace is reachable. This goes beyond the structured annotations and warns the agent about side effects and prerequisites.

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 compact and front-loaded: it states the core function in the first clause, supplies varied concrete examples, and then gives the essential usage preconditions. Every sentence earns its place without redundancy or filler.

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

Completeness4/5

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

For a generic integration executor with no output schema, the description covers the critical operational context: lease requirements, workspace routing, event recording, and the need to inspect available connections first. It does not describe response shape or error behavior, but those are provider-dependent and less essential than the stated preconditions.

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 parameters are already well-documented in the input schema. The tool description adds examples of actions but does not provide additional semantic meaning for body, query, or method beyond what the schema already states. A baseline 3 is appropriate.

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 uses a specific verb phrase ('Perform one call against a system this client has connected') and gives concrete examples such as posting a Slack reply and reading a Linear issue. It clearly differentiates this execution tool from list_integrations and from the many task-management siblings by framing it as the generic integration invocation tool.

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 explicitly states preconditions ('must hold an active lease') and directs the agent to 'Call list_integrations first to see what is connected.' It does not explicitly enumerate when not to use this tool versus other alternatives, but the context and the call to list_integrations make the intended usage clear.

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

A3.7/5.0
Disambiguation3/5

Most tools target a distinct resource and action, but several adjacent pairs are easy to confuse: add_comment vs add_progress_note, call_executor vs call_integration, log_client_decision vs update_client_context vs memory_save, and list_context_sources vs list_integrations. The descriptions do disambiguate them, but the boundaries are subtle enough that misselection is likely with 81 tools.

Naming Consistency4/5

The overwhelming majority follow a clear verb_noun snake_case pattern (create_task, update_project, list_integrations, set_webhook), and get_/ list_/ create_/ update_ families are predictable. Minor deviations exist: memory_read/memory_save/memory_search invert to object_verb, and bare nouns like whoami, glossary, and security_posture break the pattern, but there is no chaotic casing or mixed conventions.

Tool Count2/5

At 81 tools, this is far above the weight that is comfortable for an agent's tool-selection surface, especially since many tools belong to families that could be consolidated (webhooks, worker keys, project logs, context/memory). Although the domain is broad, the count will overwhelm agents and increase misrouting.

Completeness4/5

The surface is unusually comprehensive: tasks, projects, workers, leases, artifacts, comments, handoffs, webhooks, keys, context, memory, integrations, and support all have create/read/update/delete or equivalent lifecycle coverage. The gaps are minor, such as remove_dependency without a visible add_dependency and no artifact/comment deletion, but agents can work around them.

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