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seekrit — secrets for agents

audit

Read-onlyIdempotent

Read the organization's append-only audit trail, most recent first — every mutation across apps, environments, secrets, members, and tokens. Use it to answer "what changed and who did it"; for one secret's history specifically, list_secret_versions is narrower and cheaper. Returns [{ id, action, actorType, actorId, resourceType, resourceId, metadata, ipAddress, createdAt }].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoOrganization 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.
limitNoHow many entries to return, newest first. 1–200, default 50.
actionNoExact action name to filter by, e.g. "secret.updated" or "app.deleted". Omit for every action. Read the values off an unfiltered call rather than guessing.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: the trail is append-only, results are newest-first, and it covers all mutation types across multiple resources. This is meaningful additional transparency.

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 purposeful sentences with no fluff: the first states the core function and scope, the second gives usage direction and a sibling alternative, and the third provides the return shape. Information is front-loaded and every sentence earns its place.

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 tool with three optional parameters and no output schema, the description is complete: it explains ordering, scope, intended use, the key alternative, and the exact return record shape. Nothing an agent needs to invoke it correctly 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%, and each parameter already has a clear description, including the org auto-detection behavior, limit range/default, and action filter guidance. The description adds only general context around ordering and scope, which does not materially extend what the schema already explains. 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 and resource ('Read the organization's append-only audit trail') with clear scope ('every mutation across apps, environments, secrets, members, and tokens') and ordering ('most recent first'). It also explicitly names list_secret_versions as the narrower alternative, so an agent can immediately distinguish this tool from a key sibling.

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?

It gives an explicit use case — answering 'what changed and who did it' — and an explicit exclusion: for one secret's history specifically, list_secret_versions is narrower and cheaper. This directly tells the agent when to choose this tool versus an alternative.

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.

Resources