About Reecopedia & privacy
about_reecopediaWhat Reecopedia is, who runs it, and its privacy policy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
about_reecopediaWhat Reecopedia is, who runs it, and its privacy policy.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safe behavior is covered. The description adds useful content scope but does not disclose anything beyond that, such as whether the data is static, how current the privacy policy is, or the response structure.
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 compact phrase that captures the three informational facets without any filler. It front-loads the core subject and avoids repetition of the title.
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 zero parameters, an output schema, and annotations conveying safety, the description provides everything needed to select and invoke the tool. An agent can confidently call this tool for meta-questions about Reecopedia.
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 tool has no parameters, so parameter-semantic confusion is impossible. The description need not document parameter meanings; the schema is fully trivially complete.
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 identifies what the tool does: it explains Reecopedia, its operators, and privacy policy. While it lacks an explicit verb like 'returns' or 'displays', the content scoping is unmistakable and differentiates it from search/fetch and other 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?
The usage context is implied: use this tool when someone asks what Reecopedia is, who runs it, or its privacy policy. However, there is no explicit guidance about when not to use it or how it compares to sibling tools such as search, fetch, or document_outline.
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.
Most tools have clearly distinct purposes: semantic answering, browsable search, exact-string lookup, outline navigation, full-page fetch, about, and feedback. The main ambiguity is between `search` and `search_eu_textile_regulations`, but their descriptions do separate result-list browsing from cited passage answers.
All names use lowercase snake_case, but the pattern is mixed: `fetch` and `search` are one-word verbs, `document_outline` is a noun compound, `about_reecopedia` begins with a preposition, and the rest use verb_object naming. The inconsistency is readable but not predictable enough to infer tool behavior from names alone.
Seven tools is a well-scoped size for a specialized regulatory-corpus reader: Q&A, browse, exact search, outline, fetch, about, and feedback each earn their place. There is no redundancy or bloated surface.
The toolset covers the full retrieval lifecycle: ask a regulatory question, browse results, find exact strings, inspect document structure, fetch full pages, and report bad answers for curation. No obvious dead ends or missing operations are apparent for the stated domain.