gf_darshan
GET public Darshan (refuse/admit samples + provenance rail).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
GET public Darshan (refuse/admit samples + provenance rail).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description explicitly indicates a GET operation and 'public' data, which implies a read-only and accessible behavior. However, it lacks details such as return format, error conditions, or rate limits. With no annotations, the description carries the full burden but only partially fulfills it.
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 a single, tightly written sentence that front-loads the core purpose (GET public Darshan) and appends concise details in parentheses. Every word contributes to understanding.
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 zero-parameter GET tool with no output schema, the description provides enough context about the resource and what it contains. It lacks an explicit return structure, but the included details about its contents are sufficient for a simple retrieval tool.
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 input schema has zero parameters, so the baseline is set to 4. The description adds context about the resource content but does not need to document any parameters since none exist.
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 performs a GET operation for public Darshan, specifying the contents (refuse/admit samples and provenance rail). It is specific about the resource and action, but does not explicitly distinguish this from sibling tools.
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?
No guidance is provided about when to use this tool versus alternatives, nor any exclusions or prerequisites. The description is purely declarative with no usage context.
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 but there is some potential confusion: gf_darshan and gf_package both involve admit/refuse operations, and gf_cite and gf_verify both deal with claims. Descriptions help clarify, but boundaries are not perfectly crisp.
All tools follow a consistent 'gf_' prefix with snake_case resource names. The pattern is uniform across the entire set, making it predictable for agents.
With 9 tools, the server is well-scoped for a federation service. Each tool covers a distinct aspect without excessive bloat or redundancy.
The tool surface covers core operations like citation, darshan sampling, dossier access, packaging, reporting, and verification. Minor gaps exist (e.g., no explicit update/delete for claims), but the existing tools cover the main workflows without causing dead ends.