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Glama

Wiktionary

by io.github.pipeworx-io

Pronunciations

pronunciations
Read-onlyIdempotent

IPA / phonetic transcriptions extracted from wikitext.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNo
wordYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYesThe word queried
foundNoWhether pronunciation section was found
sectionNoName of the pronunciation section
wikitextNoRaw wikitext content of the pronunciation section
section_numberNoSection number identifier
available_sectionsNoAvailable sections when pronunciation not found

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, destructiveHint=false. The description adds only 'extracted from wikitext', which is a minor source detail but does not disclose important behavioral traits like what happens for missing words, supported languages, or format of transcriptions.

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 very short (one sentence), which is concise but lacks structure. It fits in one line, but sacrifices necessary details. The brevity is acceptable for a simple tool, but the lack of parameter or usage context is problematic.

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?

Given an output schema exists, return values are not required. However, the description does not cover the tool's behavior for edge cases (e.g., unsupported languages, multiple pronunciations) or clarify that 'wikitext' refers to a specific source. It is minimally complete for a tool with two parameters and no parameter descriptions.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description provides zero information about the two parameters (lang and word). The examples in the schema are not part of the description, so the agent gets no semantic guidance beyond what the schema's property names imply.

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 tool extracts IPA/phonetic transcriptions from wikitext, which is a specific verb+resource. Among sibling tools like 'definition' and 'etymology', this tool's purpose is distinct and immediately clear.

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 on when to use this tool versus alternatives. It does not mention any prerequisites, typical use cases, or situations where this tool would be preferred over other pronunciation-related tools (none exist in siblings, but still lacking context).

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

All Wiktionary toolsInspect
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TDQS

B3.1/5.0
Disambiguation1/5

The toolset is overwhelmingly fragmented: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-identical entry points; polymarket_edges, polymarket_arbitrage, and polymarket_fill_risk heavily overlap; and ai_visibility_check vs scan_competitor_ai_presence cover the same task. The five actual Wiktionary tools are distinct but are lost among dozens of unrelated research and prediction-market tools, making selection highly ambiguous.

Naming Consistency3/5

All names use snake_case and several logical prefixes (ask_pipeworx, polymarket_, pipeworx_) create local patterns. However, the naming mixes noun-style commands (definition, etymology, pronunciations, summary) with verb-style commands (search, remember, forget, validate_claim), and no consistent verb_noun convention carries across the whole set.

Tool Count1/5

36 tools is already heavy, but the deeper problem is that only 5 tools actually belong to a Wiktionary server while 31 tools serve unrelated Pipeworx, Polymarket, memory, and marketing-audit functions. The count is wildly inappropriate for the declared server purpose.

Completeness2/5

The Wiktionary-relevant tools cover basic word lookup—search, summary, definition, etymology, pronunciations—but omit common dictionary operations like translations, usage examples, inflected forms, or random entries. The non-Wiktionary majority does not fill these gaps; it just makes the surface area incoherent and hard to reason about.

Resources