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Glama

drill_down_pack_item

Retrieves a single legislation article or high court decision from an existing legal information pack by pack ID and follow-up question, so you get that item without rebuilding the pack.

Instructions

Follow-up tool — call ONLY after prepare_doctor_legal_information_pack. Pass the packId from that response plus a follow-up question mentioning a specific article number, law name, chamber, or decision number to retrieve just that item without rebuilding the pack. Example: { "packId": "pack-3f9a2c", "followUpQuestion": "madde 24 ne diyor?" }

Input Schema

NameRequiredDescriptionDefault
packNo
packIdNo
followUpQuestionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.59.2

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the prerequisite state dependency and that it retrieves just one item without rebuilding the pack, which is useful, but it does not describe return format, failure behavior for invalid packId or unmatched items, or whether the pack is consumed or remains available.

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 front-loaded with the critical prerequisite and purpose, then gives the required inputs and a concrete example. Every sentence adds actionable information, and the example clarifies the expected call shape without unnecessary length.

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

Completeness3/5

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

The description covers the prerequisite and the two main invocation inputs, which is enough to make a basic call. However, the tool has a nested `pack` parameter and no output schema, and the description neither explains the pack object nor describes what the retrieval returns, leaving gaps for an unfamiliar agent.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must explain all three parameters. It explains packId and followUpQuestion well, including an example, but it never mentions the nested `pack` object even though the schema includes it with relevantLegislation and verifiedHighCourtPrecedents fields. That leaves a complex parameter undocumented.

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 states a specific verb and resource: follow-up retrieval of a single item from an existing legal information pack without rebuilding it. It clearly distinguishes this from prepare_doctor_legal_information_pack by requiring that sibling as a prerequisite, so an agent can tell which tool to use.

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

Usage Guidelines5/5

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

It gives explicit when-to-use guidance: call ONLY after prepare_doctor_legal_information_pack, and pass the packId from that response. It also specifies what the follow-up question should mention, such as article number, law name, chamber, or decision number, which is enough routing guidance for correct invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.