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Issue a REST API key for my worker

issue_worker_key

Mint a tng_ bearer key so a worker can call Tango's HTTP worker API (pull_task, update_task, complete_task) outside MCP. The raw key is returned exactly once — hand it to the process that runs the worker and do not repeat it in chat. Requires that you own or administer the worker. Use rotate_worker_key/revoke_worker_key for lifecycle changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoOptional note about where this key will run.
worker_idYesThe worker to mint a key for. Must be yours.

TDQS

A4.7/5.0
Behavior5/5

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

The description adds significant behavioral context beyond the sparse annotations: the raw key is returned exactly once, it must be handed to the worker process, and it should not be repeated in chat. It also discloses the ownership requirement. This is especially valuable for a credential-issuing tool, and it does not contradict the annotations.

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?

Three tight sentences: the first front-loads the action and purpose, the second covers the critical one-time-exposure security behavior, and the third covers ownership and lifecycle alternatives. Every sentence earns its place with no redundancy or filler.

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?

For a simple two-parameter, no-output-schema tool, the description covers everything an agent needs: what the key enables, that it is shown only once, what to do with it, who may request it, and where to go for lifecycle changes. Nothing critical is missing.

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 the schema already documents worker_id and label well. The description reinforces that the worker must be owned/administered by the caller, but this largely mirrors the schema's 'Must be yours.' Therefore it adds only marginal semantic value beyond the schema, matching the baseline for full schema coverage.

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 states a specific verb ('Mint') and resource ('tng_ bearer key') and clearly identifies the purpose: letting a worker call Tango's HTTP worker API outside MCP. It also distinguishes itself from sibling lifecycle tools by naming rotate_worker_key/revoke_worker_key as alternatives.

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

Usage Guidelines5/5

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

The description says exactly when this tool is appropriate: when a worker needs to call the HTTP worker API outside MCP. It explicitly names the lifecycle alternatives (rotate_worker_key/revoke_worker_key) and states the ownership prerequisite, leaving no ambiguity about when to choose this tool.

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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