get_opinion
Get a single opinion/essay by slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Opinion slug |
Get a single opinion/essay by slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Opinion slug |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic action and does not mention return format, error behavior, authentication needs, or what happens if the slug is not found. This is insufficient for a tool with zero annotation support.
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 a single, focused sentence that front-loads the core action and resource. There is no wasted wording, and it is appropriately sized for the tool's simplicity.
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?
The tool is simple with one parameter and no output schema. The description explains the basic purpose but does not clarify what the returned opinion/essay looks like or any edge cases. Given the low complexity and the existence of sibling list_opinions, the description is minimally adequate but not richly informative.
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 100%, with 'slug' described as 'Opinion slug'. The description adds 'by slug' but does not provide any additional semantic meaning beyond what the schema already offers. The baseline of 3 is appropriate since the schema handles the parameter documentation adequately.
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 clearly states the verb 'Get' and the specific resource 'single opinion/essay by slug', which distinguishes it from sibling list_opinions. It is precise and leaves no ambiguity about what the tool does.
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 usage context is implied: use this tool when you have a slug and need one specific opinion. However, there is no explicit guidance on when to prefer this over list_opinions or any alternatives, nor any exclusions mentioned.
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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