text_count_occurrences
Count the occurrences of a substring in text, with an optional case-sensitive mode.
Instructions
Count occurrences of a substring in text.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| search | Yes | ||
| case_sensitive | No |
Count the occurrences of a substring in text, with an optional case-sensitive mode.
Count occurrences of a substring in text.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| search | Yes | ||
| case_sensitive | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose any behavioral aspects beyond basic counting. Does not mention case sensitivity default or edge cases like overlapping matches.
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?
Single sentence, no wasted words. Front-loaded with the core purpose.
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?
Without output schema or further detail, the description is incomplete for a proper understanding. Does not specify behavior for overlapping, empty search, or default case sensitivity.
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?
Schema description coverage is 0% and the description adds no meaning to the three parameters. Parameters 'text', 'search', and 'case_sensitive' are not explained beyond what the schema shows.
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?
Description clearly states the action (count occurrences) and the resource (substring in text). It contrasts well with sibling tools like text_analyse or text_extract_*.
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?
No explicit guidance on when to use this tool or alternatives. It is a simple operation but lacks any contextual cues for the agent.
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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