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saidsurucu

Mevzuat MCP

by saidsurucu

get_cbbaskankarar_content

Fetches a Turkish Presidential Decision PDF and returns its full content as Markdown for analysis, summarization, or question answering.

Instructions

Retrieve the full content of a Turkish Presidential Decision (Cumhurbaşkanı Kararı) in Markdown format.

This tool fetches the PDF document and converts it to Markdown. Presidential Decisions are available only as PDF files. Use 'search_cbbaskankarar' first to find the decision number and series.

Returns:

  • Full decision content formatted as Markdown (converted from PDF)

  • Ready for analysis, summarization, or question answering

Example usage:

  1. Search for decisions: search_cbbaskankarar(baslangic_tarihi="2023", bitis_tarihi="2024")

  2. Get full content: get_cbbaskankarar_content(mevzuat_no="10452", mevzuat_tertip="5")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mevzuat_noYesThe Presidential Decision number from search results (e.g., '10452')
mevzuat_tertipNoDecision series from search results (e.g., '5')5

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
madde_idYes
mevzuat_idYes
markdown_contentYes
error_messageNo
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool 'fetches the PDF document and converts it to Markdown' and notes that decisions are only available as PDF. This adds useful behavioral context beyond the schema, though it omits potential error conditions or conversion limitations.

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?

The description is concise, well-structured with a purpose sentence, follow-up details, bullet points for returns, and an explicit example. Every sentence contributes value without redundancy.

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 the presence of an output schema, the description adequately covers the return format (Markdown), prerequisite workflow (search first), and provides a usage example. No significant gaps for this straightforward retrieval tool.

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?

With 100% schema description coverage, baseline is 3. The description repeats the parameter purposes from the schema ('number from search results', 'series from search results') without adding new semantic value. No additional formatting or constraints are described.

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 clearly states the verb ('Retrieve') and resource ('full content of a Turkish Presidential Decision') and specifies the output format (Markdown). It distinguishes itself from sibling search tools like search_cbbaskankarar and other content tools via the document type.

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?

The description explicitly advises to 'Use search_cbbaskankarar first to find the decision number and series', providing a clear prerequisite. It implicitly defines the tool's role as a retrieval step after search, but does not list when to avoid using it or compare to other content tools.

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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