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Glama

normalize_address

Parse an Indian postal address into structured fields: line, locality, city, state (from PIN), pincode. Validates PIN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYes

TDQS

A3.5/5.0
Behavior3/5

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

The description mentions validation of PIN and extraction of state from PIN, which are behavioral traits. However, it does not specify behavior on invalid input (e.g., error vs partial output) or whether the tool has any side effects. With no annotations, more detail would improve transparency.

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 a single sentence that effectively states the tool's purpose and capabilities without any unnecessary words. It is front-loaded with the action and resource.

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?

Given no output schema nor annotations, the description covers the main function but omits error handling details and output format specification. For a parsing tool, agents would benefit from knowing the structure of the returned fields or behavior on invalid addresses.

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?

The schema has 0% description coverage for the single 'address' parameter. The description provides minimal extra meaning: it should be an Indian postal address to be parsed. No format, examples, or constraints are given, so the value added is limited.

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 uses a specific verb 'Parse' and identifies the resource as 'Indian postal address', clearly distinguishing it from sibling tools like pincode_to_locality or state_from_pan which handle only parts. It lists output fields, leaving no ambiguity.

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?

No guidance is given on when to use this tool versus siblings. For example, one might use normalize_address for full parsing but pincode_to_locality for just locality from a PIN. Without such distinctions, agents may choose incorrectly.

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

A3.7/5.0
Disambiguation4/5

The tools cover distinct tasks: script detection, identifier validation, address/name normalization, and transliteration. Some overlap exists (e.g., PIN codes appear in both pincode_to_locality and normalize_address), but descriptions clarify each tool's role.

Naming Consistency3/5

All names use snake_case, but the pattern varies: detect_script, normalize_address, and normalize_name are verb_noun, while gstin_info, pincode_to_locality, and state_from_pan are noun_verb. transliterate is just a verb, breaking the pattern.

Tool Count5/5

With 7 tools, the count is well within the ideal range (3-15) and appropriately covers the server's domain of Indian text and identifier processing without being excessive.

Completeness4/5

The toolset covers core functionality: script detection, address/name normalization, PIN and PAN/GSTIN extraction, and transliteration. Missing operations like Aadhaar validation or bulk processing are minor given the stated purpose.