search_dokument_fulltext
Fulltextsök i dokument
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max antal resultat (ökad från 20 till 50) | |
| query | Yes | Text att söka efter |
Fulltextsök i dokument
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max antal resultat (ökad från 20 till 50) | |
| query | Yes | Text att söka efter |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only states 'full-text search' without revealing pagination, sorting, result format, or other behavioral traits. It is not misleading, but severely incomplete.
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, concise phrase that is front-loaded and free of unnecessary words. For a simple search tool, this brevity is effective, though it sacrifices richness.
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?
The tool has no output schema and the description gives no information about return values or usage context. While the schema covers parameters, the overall picture is incomplete for an agent to invoke the tool confidently.
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 provides descriptions for both parameters (query and limit) with 100% coverage. The description adds no extra semantic meaning beyond the schema, so the baseline 3 is appropriate.
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 'Fulltextsök i dokument' clearly specifies a full-text search over documents, using a specific verb and resource. It distinguishes from sibling 'search_dokument' by implying a more exhaustive text-based search, though it does not explicitly differentiate.
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 given on when to use this tool versus sibling search tools such as 'search_dokument' or 'enhanced_government_search'. The description provides no context, exclusions, or alternatives.
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.
Many tools target specific data types (documents, speeches, votes, members), but there is notable overlap between similar fetch/search tools, such as get_dokument vs get_dokument_innehall, and search_dokument vs search_dokument_fulltext. Descriptions help, but an agent could easily select the wrong tool for a task.
Tool names mix Swedish and English inconsistently (e.g., get_betankanden vs get_dokument, get_regering_document vs get_g0v_document_content). Prefixes vary (get, search, fetch, list, batch, enhanced, analyze, summarize) without a clear pattern, making the set feel haphazard.
With 32 tools, the server is heavy and likely overwhelms an agent. While the domain is broad, many tools could be consolidated (e.g., paginated fetch variants, multiple search methods), and the count exceeds the typical well-scoped range.
The server covers a wide range of Swedish government data: documents, members, votes, questions, reports, and calendars. Minor gaps exist, such as no direct single-vote retrieval or per-member document listing, but the core informational needs are well covered.