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Read this organization's security findings

security_posture
Read-only

Read-only view of Tango's configuration audit for an organization: agent keys that are dormant, unrotated or attached to archived agents; agents scoped far wider than they work; webhooks on plain HTTP or failing repeatedly; stored credentials past rotation; duplicate human identities; and secret-shaped strings pasted into task text. Use it to check and correct your own posture — for example to notice that a key you hold should be rotated, or that your scope is broader than the work you actually do. Findings are produced by a scheduled scan; this tool never changes anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agency_idNoOrganization to read. Defaults to the caller's active organization.
include_resolvedNoInclude findings that have since been fixed.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with 'this tool never changes anything' and adds that findings come from a scheduled scan. It also lists the concrete finding categories, giving the caller a solid expectation of content beyond the safety flags.

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

Conciseness4/5

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

Three sentences, front-loaded with the read-only scope and followed by a detailed but purposeful enumeration of finding types and usage guidance. The list is long but earns its place since every item is a distinct finding category.

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?

There is no output schema, yet the description conveys what kinds of findings will appear and that the tool is non-mutating; the two optional parameters are fully described in the schema. Pagination or return-format details are absent, but for a simple audit read this is adequate.

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%: agency_id and include_resolved each have clear descriptions, so the schema already documents the parameters. The tool description adds no parameter-specific semantics; baseline 3 applies.

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 opens with 'Read-only view of Tango's configuration audit for an organization' – a specific verb, resource, and scope – and then enumerates the audit categories. This makes its purpose unmistakable and distinguishes it from sibling mutating security tools like rotate_worker_key or clear_webhook, even though it doesn't name them.

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?

It explicitly frames usage: 'Use it to check and correct your own posture,' with concrete examples like noticing a key should be rotated or scope is too broad. It does not state exclusions or name alternative tools, but the read-only framing implies that remediation actions are separate.

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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