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Islam West Africa Collection (IWAC)

List audiovisual materials

list_audiovisual
Read-onlyIdempotent

List audiovisual materials, newest first (francophone web video from Burkina Faso, Togo and Benin; deposited Nigerian Hausa/Arabic recordings). Filter by country, publishing channel or source_type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 20, max 50
offsetNo
countryNoExact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Burkina Faso, Togo, Benin and Nigeria only — no Niger or Ivorian items
publisherNoSubstring on the publishing channel/broadcaster, e.g. RTB | AEEM | CERFI
source_typeNoyoutube (harvested web video, the large majority) | deposited (recordings with a file, 47)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / properties / limit / maximum
      Removed value: -9007199254740991
    • removedInput schema / properties / limit / minimum
      Removed value: --9007199254740991
    • removedInput schema / properties / offset / maximum
      Removed value: -9007199254740991
    • removedInput schema / properties / offset / minimum
      Removed value: --9007199254740991
  2. Changed2 schema fields changed
    • addedInput schema / properties / publisher
      Added value: +{
      +  "description": "Substring on the publishing channel/broadcaster, e.g. RTB | AEEM | CERFI",
      +  "type": "string"
      +}
    • addedInput schema / properties / source_type
      Added value: +{
      +  "description": "youtube (harvested web video, the large majority) | deposited (recordings with a file, 47)",
      +  "type": "string"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / country / description
      Previous value: -"Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). The subset is currently all Nigeria"New value: +"Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Burkina Faso, Togo, Benin and Nigeria only — no Niger or Ivorian items"
  4. 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"
  5. Changed1 schema field changed
    • changedInput schema / properties / country / description
      Previous value: -"Exact country name (the subset is currently all Nigeria)"New value: +"Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). The subset is currently all Nigeria"
  6. Changed5 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • 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
  7. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false). The description adds genuinely useful non-schema context: results are ordered newest-first and the corpus is limited to specific francophone West African sources. It omits return shape and pagination semantics, so it is helpful but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence: purpose and ordering first, filters last. The parenthetical corpus detail is dense and partly overlaps the country param description, but it earns its place by scoping the tool.

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 read-only, zero-required-param list tool with strong annotations and an 80%-covered schema, the description supplies the ordering and corpus scope an agent needs. With no output schema, a brief note on result shape or paging would be the only remaining gap.

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?

Schema description coverage is 80%, so the schema already explains limit, country, publisher and source_type. The description only restates the filter names (country, channel, source_type) without adding format or syntax detail, which is the expected baseline when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List audiovisual materials'), plus sort order ('newest first') and the corpus scope (francophone web video from Burkina Faso, Togo, Benin; deposited Nigerian Hausa/Arabic recordings). It does not, however, distinguish itself from the sibling search_audiovisual, so the agent must infer the list-vs-search boundary.

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

Usage Guidelines3/5

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

It enumerates the available filters (country, publishing channel, source_type), which implies how to narrow results, but gives no explicit when-to-use guidance or exclusion relative to search_audiovisual. Usage is implied rather than stated.

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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