seekrit — secrets for agents

billing

Read-onlyIdempotent

Show the org's plan, effective entitlements, current usage, and which upgrade actions are available. Read this if a create action was refused with a plan limit — it names the limit you hit and how to lift it. Returns { plan, subscription, promo, entitlements, usage, overrides, enforced, manage } — enforced: false means plan limits are not currently applied, and manage carries the upgrade paths.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`org`	No	Organization slug or id. Omit it when the credential can reach exactly one org — that org is used automatically. With several, the error names every slug you may pass; list them yourself with list_orgs.

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds meaningful behavioral context beyond that by explaining the return shape and the key semantic detail that `enforced: false` means plan limits are not currently applied. This helps the agent interpret results correctly.

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 sentences with no filler: the first states the tool's purpose, the second gives the key use case, and the third summarizes the return value and important semantics. Every sentence earns its place, and the most actionable guidance is front-loaded.

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 read-only, one-parameter tool with rich annotations and a self-explanatory return shape, the description is complete. It tells the agent what the tool returns, what the important flags mean, and when to call it. No output schema exists, but the description covers the essential output semantics sufficiently.

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?

The tool description itself adds no parameter-level meaning, but the input schema covers the single optional `org` parameter thoroughly, including default behavior and how to discover org slugs. With 100% schema description coverage, the baseline of 3 is appropriate; the description doesn't need to repeat it.

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 ('Show') and resource (the org's plan, entitlements, usage, and upgrade actions) with concrete scope. It is clearly distinct from sibling list tools like list_orgs or whoami, so an agent can identify what this tool is for without opening the schema.

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 gives an explicit trigger: 'Read this if a create action was refused with a plan limit.' It also explains what the tool will tell you in that situation, which is strong guidance for selecting this tool over alternatives. No exclusion cases are needed given the tool's unique purpose.

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

A4.1/5.0

Disambiguation4/5

Most tools target a distinct resource and action, and many descriptions explicitly call out their near neighbors (list_envs vs list_env_groups vs list_group_envs). The main ambiguity is the three-way env/group listing cluster and the partial overlap between list_orgs and whoami, but the descriptions largely mitigate misselection.

Naming Consistency4/5

Snake_case verb_noun naming dominates (list_*, create_*, delete_*, revoke_*, rename_*), and the kms_ prefix is used consistently. A few outliers like audit, billing, whoami, signup, get_started, local_tool_for, and setup_local_crypto break the strict pattern, but they are still readable and no camelCase or chaotic mixing is present.

Tool Count2/5

40 tools is far above the 25-tool threshold and creates a heavy surface for an agent to navigate. The broad domain of apps, groups, envs, secrets, members, tokens, KMS, and leases partially justifies the size, but several list/delete/revoke families could be consolidated.

Completeness3/5

The set covers control-plane lifecycle well for apps, groups, and invitations, and provides solid list/delete/revoke coverage for envs, branches, tokens, leases, and KMS. However, create operations for envs, branches, tokens, and leases, plus all secret value reads/writes, are deliberately delegated to the local crypto plane; local_tool_for and setup_local_crypto help bridge the gap, but the server is not standalone-complete.

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