Lists all projects for the authenticated team. 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.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | No | Optional API key for clients that cannot set X-API-Key headers. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral burden. It discloses the authentication requirement, where to generate an API key, and the header-vs-argument fallback. It does not mention pagination, ordering, or explicit side-effect absence, but 'Lists' implies a read-only operation and the auth guidance covers the main behavioral concern.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no filler. The main purpose is front-loaded, and the authentication detail earns its place as it directly affects invocation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list operation with one optional parameter and no output schema, the description covers the operation, scope, and authentication path. It omits response format and pagination details, but those are reasonably inferable from the tool name and purpose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents api_key at 100% coverage with examples and a clear description. The description only restates the header/argument fallback, which is consistent but adds no significant new parameter semantics, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Lists'), a resource ('projects'), and a scope ('for the authenticated team'). The phrase 'all projects' clearly distinguishes it from siblings like get_project (single project) and create_project/delete_project.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It provides clear usage context: authentication via X-API-Key, how to obtain a key, and a fallback to passing api_key in arguments when headers are unsupported. It does not explicitly name sibling alternatives, but the context is clear and no exclusions are needed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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 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.
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.
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.
