Vaultfire MCP Server

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

No annotations are provided, so the description carries the full burden. It discloses behavioral traits such as returning a 'trusted/untrusted verdict with reason' and performing multiple checks, but lacks details on rate limits, error handling, or authentication needs. The description is informative but not comprehensive for a verification tool with no annotation support.

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?

The description is front-loaded with the tool's purpose and key checks, followed by usage guidance. Every sentence earns its place by adding value, with no redundant or vague language, making it efficient and well-structured.

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?

Given the complexity of a verification tool with 3 parameters and no output schema, the description is mostly complete. It explains what the tool does and when to use it, but lacks details on output format or behavioral aspects like error cases. With no annotations, it could benefit from more transparency, but it's adequate for basic use.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond what the schema provides, such as explaining interactions between parameters or usage nuances. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the tool's purpose with specific verbs ('verify', 'checks') and resources ('AI agent address'), listing multiple verification criteria (on-chain identity, partnership bonds, Street Cred score, reputation data, cross-chain bridge recognition). It distinguishes from sibling tools like 'vaultfire_get_street_cred' or 'vaultfire_get_reputation' by combining all checks into a single trusted/untrusted verdict.

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?

The description explicitly states when to use this tool: 'Use this before interacting with an unknown agent.' This provides clear context for usage versus alternatives, though it doesn't name specific sibling tools, the guidance is direct and actionable for the agent's decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.