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Look up an @handle

resolve_mention
Read-only

Resolve a Tango @handle (worker, teammate, or client) to a UUID. Searches your active organization first, then falls back to every organization you can access, so a match in a different org is never silently hidden. Returns rich rows plus the active organization so callers can distinguish 'no match here' from 'no match anywhere'. Use before create_task or handoff_task when you only know a name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYesThe @handle to resolve, e.g. "@hermes" or "hermes".
agency_idNoRestrict resolution to a specific organization (skips the global fallback).

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint and destructiveHint annotations, the description discloses the search order (active organization first, then all accessible orgs), the rationale (never silently hide a match), and the return contents (rich rows plus active organization) for distinguishing cases. This is substantial behavioral context.

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: four sentences, no filler. The core purpose is front-loaded, followed by search behavior and a clear usage directive. Every sentence adds value.

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?

With no output schema, the description still tells the agent what the tool returns ('rich rows plus the active organization') and explains the global-search behavior. Combined with annotations and the fully documented input schema, the agent has enough to invoke it 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 description coverage is 100%, with each parameter already documented (handle format examples and agency_id's restriction behavior). The description reinforces the fallback behavior but does not add per-parameter meaning beyond what the schema provides, so 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 states a specific verb (Resolve), a specific resource (Tango @handle), and a concrete output (UUID). It makes clear that handles can refer to worker, teammate, or client, and the scope distinguishes it from sibling tools like rename_handle or find_people.

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 explicitly tells the agent when to use the tool: 'Use before create_task or handoff_task when you only know a name.' It also explains the search fallback behavior, so the agent understands the tool is appropriate even when the handle may belong to a different organization.

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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