get_factsGet multiple random cat facts at once. Specify count (e.g., 5). Returns array of fact texts with character lengths.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of facts to return. Defaults to 5. |
| Name | Required | Description | Default |
|---|---|---|---|
| facts | Yes | List of cat facts | |
| total | Yes | Total number of available facts |
Changes observed during successful MCP inspections.
Output schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "facts": {
+ "description": "List of cat facts",
+ "items": {
+ "properties": {
+ "fact": {
+ "description": "The cat fact text",
+ "type": "string"
+ },
+ "length": {
+ "description": "Character length of the fact",
+ "type": "number"
+ }
+ },
+ "required": [
+ "fact",
+ "length"
+ ],
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "total": {
+ "description": "Total number of available facts",
+ "type": "number"
+ }
+ },
+ "required": [
+ "total",
+ "facts"
+ ],
+ "type": "object"
+}Input schema / examplesAdded value: +[
+ {
+ "limit": 5
+ },
+ {
+ "limit": 10
+ }
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the read-only, idempotent, and non-destructive annotations, the description discloses that facts are random and that it returns an array of fact texts with character lengths, adding useful behavioral context. It does not mention the default count, but the schema covers that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core action, and every sentence earns its place. No redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, full annotations, and output schema, the description is complete: it covers purpose, randomness, count specification, and return format. No significant gaps remain.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides full coverage for the 'limit' parameter with a description and default value. The tool description adds an example ('e.g., 5') but no additional meaning beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Get'), resource ('multiple random cat facts'), and scope ('at once'), clearly distinguishing it from the singular sibling get_fact. It also mentions specifying a count, which clarifies the tool's function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context: use this tool when you need multiple random cat facts at once. It does not explicitly mention alternatives or exclude single-fact usage, but the plural language implies the distinction from get_fact.
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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