seekrit — secrets for agents

list_apps

Read-onlyIdempotent

List the applications in an organization — an application is the top-level container that owns environments, which in turn own secrets. Start here when you know the org but not the app slug the other tools need. Returns [{ id, orgId, name, slug, createdAt }]; use list_envs next to descend into one.

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

A4.3/5.0

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 useful behavioral detail by disclosing the exact return format and the relationship between apps, environments, and secrets, going beyond the structured 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?

The description is compact and front-loaded: it states the purpose first, then adds the hierarchy context, the return type, and the next-step guidance. Every sentence earns its place, and there is no redundant repetition of the schema or annotations.

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 single-optional-parameter, read-only list tool with no output schema, the description is complete: it states what is listed, why, what is returned, and what to call next. The schema covers the one parameter's behavior, and annotations cover safety and idempotency, so nothing essential 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 the org parameter is already well-documented, including how omission behaves depending on credential scope. The tool description does not need to add much parameter detail, and the baseline of 3 applies when the schema carries the semantic weight.

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 ('List the applications in an organization') and situates it in the hierarchy as the top-level container for environments and secrets. It also gives the exact return shape, making the tool's role unambiguous relative to siblings like list_envs and list_orgs.

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?

The description explicitly says to 'Start here when you know the org but not the app slug the other tools need' and directs the agent to 'use list_envs next to descend into one.' It provides clear context, though it does not spell out exclusions such as skipping this tool when the app slug is already known.

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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