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Glama

Islam West Africa Collection (IWAC)

Search publications

search_publications
Read-onlyIdempotent

Search Islamic publications (periodical issues, books). keyword matches title, subject, table of contents, and full OCR text (TOC hits come back as matching_toc_entries); use French concept keywords regardless of the user's report language. Filter by newspaper/series, subject, country and year. Use list_periodicals to discover series titles, and get_publication_fulltext for keyword excerpts from a single issue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 20, max 100
offsetNo
countryNoExact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)
date_toNoLatest year, YYYY
keywordNoFrench concept keyword; substring match on title + subject + table of contents + OCR (accent-insensitive)
subjectNoSubject tag (~87% of issues are tagged)
date_fromNoEarliest year, YYYY
newspaperNoPeriodical/series title (see list_periodicals)
hijri_yearNoIslamic (Umm al-Qura) year, e.g. 1445
hijri_monthNoIslamic lunar month: 1-12, or a name (Ramadan, Chaabane, Chawwal, Dhu al-Hijja). Matches only issues with a full YYYY-MM-DD date — ~83% of them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / hijri_month
      Added value: +{
      +  "description": "Islamic lunar month: 1-12, or a name (Ramadan, Chaabane, Chawwal, Dhu al-Hijja). Matches only issues with a full YYYY-MM-DD date — ~83% of them.",
      +  "type": "string"
      +}
    • addedInput schema / properties / hijri_year
      Added value: +{
      +  "description": "Islamic (Umm al-Qura) year, e.g. 1445",
      +  "maximum": 9007199254740991,
      +  "minimum": -9007199254740991,
      +  "type": "integer"
      +}
  2. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. Changed1 schema field changed
    • changedInput schema / properties / keyword / description
      Previous value: -"French concept keyword; substring match on title + subject + OCR (accent-insensitive)"New value: +"French concept keyword; substring match on title + subject + table of contents + OCR (accent-insensitive)"
  4. Changed6 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / keyword / description
      Previous value: -"Substring match on title + subject + OCR (accent-insensitive)"New value: +"French concept keyword; substring match on title + subject + OCR (accent-insensitive)"
    • addedInput schema / properties / limit / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / limit / minimum
      Added value: +-9007199254740991
    • addedInput schema / properties / offset / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / offset / minimum
      Added value: +-9007199254740991
  5. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, covering safety. The description adds non-obvious behavioral details beyond annotations: keyword matches full OCR text, TOC hits are returned as matching_toc_entries, and French concept keywords must be used regardless of the user's language. No contradiction exists.

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 concise three-sentence structure: purpose, keyword matching behavior, and filter/related-tool guidance. Every sentence carries useful information without redundancy, making it highly efficient and easy to parse.

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

Completeness4/5

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

For a tool with 10 parameters and no output schema, the description delivers essential context: what the tool does, how keyword matching works, which filters are available, and how to leverage adjacent tools. It does not detail the full response structure, but mentions the key TOC field, making it sufficiently complete for agent decision-making.

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

Parameters4/5

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

With 90% schema description coverage, the baseline is 3. The description adds extra meaning by explicitly noting that TOC hits come back as matching_toc_entries and emphasizing the French keyword requirement, which goes beyond what the schema states. This meaningful additional context justifies a 4.

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's purpose: search Islamic publications, specifically periodical issues and books. This distinguishes it from sibling tools like search_articles (individual articles) and search_documents. It also describes the specific matching behavior across title, subject, TOC, and full text.

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 provides clear context on how to use the tool (filter by newspaper/series, subject, country, year) and names related tools for complementary tasks (list_periodicals for series titles, get_publication_fulltext for excerpts). However, it does not explicitly state when not to use this tool versus other search variants, so it falls short of a 5.

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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