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get-components

Returns detected open-source/CMS components for a project (all vaults) or a single vault. Provide exactly one of project_id or vault_id. Requires full data access (a paid plan; verification-only plans are not included). Requires X-API-Key (existing users can generate an API key in the web app). If headers aren't supported, pass api_key in arguments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoFilter: substring match on component URL.
nameNoFilter: substring match on component name.
limitNoMax results to return (default 50, max 200).
offsetNoNumber of results to skip, for pagination.
vendorNoFilter: substring match on vendor.
api_keyNoOptional API key for clients that cannot set X-API-Key headers.
vault_idNoVault id (from create-code-vault or list_vaults). Returns data for this vault only.
project_idNoProject id (from create_project). Returns data aggregated across all vaults in the project.
sort_by_sizeNoSort by total_lines_of_code descending instead of by name.
only_outdatedNoOnly return components where current_version != latest_version.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses plan requirements, API-key requirements, the X-API-Key header fallback via api_key argument, and the aggregation semantics ('all vaults' vs 'single vault'). It does not explicitly state that this is a read-only operation or describe the response format, but the behavioral disclosures are substantial.

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 four sentences, front-loads the core purpose, and every sentence earns its place: scope, id exclusivity, plan/access requirement, and authentication fallback. It is detailed but not bloated, and it does not repeat the full parameter schema.

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?

For a 10-parameter tool with no annotations and no output schema, the description covers the most critical operational context: id selection, plan gating, authentication, and aggregation behavior. The only notable gap is that it does not describe the response shape or documented return fields, but the description's explicit focus on detected components and filters leaves the agent well-equipped 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%, so the schema already documents all 10 parameters in detail. The description adds no new parameter-level semantics beyond reinforcing the existing oneOf constraint and the api_key header fallback. Baseline 3 is appropriate because the schema carries the parameter documentation burden.

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 a specific verb and resource: 'Returns detected open-source/CMS components for a project (all vaults) or a single vault.' It clearly distinguishes this tool from sibling get-* tools by naming the resource type and the two scoping modes (project vs vault), so an agent knows what it does and how it differs.

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 gives clear context on when to call the tool: when component data is needed at project or vault level. It also provides usage constraints — 'Provide exactly one of project_id or vault_id' — and access prerequisites such as paid plan and API key. It does not explicitly name alternatives or exclusions, so it falls just short of a 5.

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

Tools are mostly distinct by resource and action, but the three get-code-vault-* variants (summary, results, reports) plus get_vault create a cluster of similar-sounding retrieval tools. The use of both 'vault' and 'code-vault' in names increases the chance of misselection, though descriptions do clarify the differences.

Naming Consistency2/5

Naming convention is inconsistent: snake_case (create_account, get_vault, list_projects) is mixed with kebab-case (create-code-vault, get-code-vault-summary, reanalyze-code-vault). The same concept is referred to as 'vault' and 'code-vault' across tool names, breaking predictability.

Tool Count4/5

At 16 tools, the server is slightly over the ideal 3-15 range but still reasonable for the domain covering accounts, projects, vaults, and analysis retrieval. The count is justified by the distinct resources and operations, though a few vault-related tools could potentially be consolidated.

Completeness4/5

The server provides solid lifecycle coverage: account create/get/delete, project CRUD (minus update), vault create/read/delete/reanalyze, plus API key rotation. Minor gaps exist, such as no update methods for accounts or projects, but the core workflows are well-supported without dead ends.