Islam West Africa Collection (IWAC)

Topic distribution

get_topic_distribution

Read-onlyIdempotent

Counts of offline LDA topic assignments, optionally over time. Topic labels are interpretive model outputs; exact topic_id filters select assignments rather than keyword matches. Reports unclassified coverage.

Input Schema

TableJSON Schema

Name	Required	Description
`exact`	No	AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.
`top_n`	No	Topics given their own band in over_time (default 8, max 15)
`subset`	No	articles (default) \| references
`country`	No	Exact country name (accents optional)
`date_to`	No
`keyword`	No
`subject`	No	Exact tag
`min_prob`	No	0-1; keep only assignments at or above this probability
`date_from`	No	Inclusive date bounds: YYYY[-MM[-DD]]
`newspaper`	No	Newspaper/periodical substring
`over_time`	No	Also return per-year counts for the leading topics
`hijri_year`	No
`hijri_month`	No
`keyword_mode`	No
`keyword_aliases`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`note`	No
`span`	No
`view`	Yes
`subset`	Yes
`topics`	Yes
`filters`	Yes
`periods`	No
`classified`	Yes
`total_matches`	Yes
`trend_by_topic`	No
`series_by_topic`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed14 schema fields changedOct 6, 2026

changedInput schema / properties / country / description

Previous value: -"Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional)"New value: +"Exact country name (accents optional)"

changedInput schema / properties / date_from / description

Previous value: -"YYYY-MM-DD (or YYYY)"New value: +"Inclusive date bounds: YYYY[-MM[-DD]]"

removedInput schema / properties / date_to / description
```
Removed value: -"YYYY-MM-DD (or YYYY)"
```

addedInput schema / properties / exact

Added value: +{
+  "additionalProperties": {
+    "items": {
+      "type": "string"
+    },
+    "maxItems": 20,
+    "minItems": 1,
+    "type": "array"
+  },
+  "description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
+  "propertyNames": {
+    "type": "string"
+  },
+  "type": "object"
+}

addedInput schema / properties / hijri_month
```
Added value: +{
+  "type": "string"
+}
```
addedInput schema / properties / hijri_year
```
Added value: +{
+  "type": "integer"
+}
```

removedInput schema / properties / keyword / description

Removed value: -"ONE French concept keyword; substring over the subset's text fields"

addedInput schema / properties / keyword / minLength
```
Added value: +1
```

addedInput schema / properties / keyword_aliases

Added value: +{
+  "items": {
+    "minLength": 1,
+    "type": "string"
+  },
+  "maxItems": 12,
+  "type": "array"
+}

addedInput schema / properties / keyword_mode

Added value: +{
+  "enum": [
+    "literal",
+    "all_terms"
+  ],
+  "type": "string"
+}

changedInput schema / properties / newspaper / description

Previous value: -"Newspaper (articles) or periodical/series title (publications)"New value: +"Newspaper/periodical substring"

changedInput schema / properties / subject / description

Previous value: -"Exact subject tag (pipe-aware)"New value: +"Exact tag"

removedInput schema / properties / top_n / maximum
```
Removed value: -9007199254740991
```
removedInput schema / properties / top_n / minimum
```
Removed value: --9007199254740991
```

Changed2 schema fields changedAug 12, 2026

addedOutput schema / properties / span

Added value: +{
+  "items": {
+    "type": "string"
+  },
+  "type": "array"
+}

addedOutput schema / properties / trend_by_topic

Added value: +{
+  "additionalProperties": {
+    "additionalProperties": {},
+    "properties": {},
+    "type": "object"
+  },
+  "propertyNames": {
+    "type": "string"
+  },
+  "type": "object"
+}

Changed2 schema fields changedJul 29, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

changedOutput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

AddedJul 28, 2026

TDQS

A3.6/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds real context beyond that: topic labels are interpretive model outputs (a reliability caveat) and the result reports unclassified coverage, plus optional over-time behavior.

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?

Three tight sentences, front-loaded with the core capability before the caveats. Every clause adds information; nothing is filler, though the interpretive-model caveat could be slightly more prominent.

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?

For a 15-parameter analytical tool this covers the interpretive caveat and the unclassified-reporting behavior well, and an output schema exists so return values need no explanation. However, usage selection against sibling distribution tools and roughly 40% of undocumented parameters are left unaddressed.

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 coverage is 60% with 15 parameters, including a nested 'exact' object. The description meaningfully clarifies exact.topic_id semantics ('select assignments rather than keyword matches') and nods to over_time, but says nothing about subset, min_prob, top_n, hijri_*, keyword_mode or keyword_aliases, so it only partially compensates for the coverage gap.

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?

Opens with a specific verb+resource ('Counts of offline LDA topic assignments') and explicitly frames the assignment-vs-keyword distinction, which separates it from search tools. It is clear what the tool returns, though it never names or contrasts a sibling like get_field_distribution or get_semantic_map.

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?

Usage is only implied: an agent can infer you call this when you want topic counts, and the exact.topic_id note warns against expecting keyword matching. There is no explicit when-to-use statement, no exclusions, and no routing to alternative distribution tools for other facets.

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

All Islam West Africa Collection (IWAC) tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.