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nestordemeure

ANNO MCP Server

download_text

Download OCR plain text from ANNO newspaper issues. Specify an identifier and optionally a page to retrieve cached text locally.

Instructions

Download OCR plain text for an ANNO newspaper issue and cache it locally.

Args: identifier: Document id, e.g. "ANNO_dmo19330626" page: Single page to fetch. Omit for the whole issue.

Returns: Path to the cached text file (as string)

IMPORTANT: ANNO serves text one page at a time, so a whole issue costs one request per page — a 104-page issue is 104 paced requests. Pass page whenever get_snippets has already told you which page you want.

Periodicals (identifiers starting ANNOP_) have no text endpoint at all
and will raise. Use get_snippets for those.

Example: path = download_text("ANNO_dmo19330626", page=7)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, description fully discloses behavior: one request per page, caching, periodicals raise errors, and return type (path to cached file). No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with sections (main, Args, Returns, IMPORTANT, Example), each sentence is informative and no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 2 parameters, no annotations, and an output schema, the description covers purpose, parameters, behavior, limitations, and provides an example. Fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema coverage, the description clearly explains both parameters: identifier with an example, and page as optional single page or omit for whole issue. Adds meaning beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the action ('Download OCR plain text') and resource ('ANNO newspaper issue') and distinguishes from sibling tool get_snippets by noting that periodicals should use get_snippets instead.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear when-to-use guidance: pass page when get_snippets has identified the page, and warns against using for periodicals (ANNOP_). Does not explicitly list when not to use but covers main scenarios.

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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