batch_fetch_documents
Batch-hämta dokument för flera riksmöten
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| doktyp | Yes | Dokumenttyp | |
| riksmoten | Yes | Lista av riksmöten | |
| maxPerRiksmote | No | Max dokument per riksmöte |
Riksdag & Regering MCP
TDQS
C2.8/5.0
Behavior2/5
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. It only states the action and gives no insight into pagination, rate limits, potential large result sets, or side effects. This is a significant gap for a batch operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no fluff, but it is under-specified. It is concise in length but lacks the structural elaboration needed to meaningfully support agent decision-making.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
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 no annotations, so the description must explain return behavior and usage context. It neither describes what the response looks like nor provides usage guidance, making it incomplete for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema descriptions cover 100% of the parameters with basic meanings (doktyp, riksmoten, maxPerRiksmote). The description aligns with the schema but adds no additional nuance beyond what is already provided in the input schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (batch-fetch) and the resource (documents for multiple parliamentary sessions), which distinguishes it from single-document tools like get_dokument. It is specific enough to understand the core function, though it doesn't explicitly name sibling alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like fetch_paginated_documents or search_dokument. There is no mention of prerequisites, exclusions, or typical use cases, leaving the agent without decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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TDQS
C2.3/5.0
Disambiguation3/5
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.
Naming Consistency2/5
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.
Tool Count2/5
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.
Completeness4/5
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.