List articles
list_articlesList articles published on the Pavels Web Solutions blog (web development, performance, SEO).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many to return (default 20, max 50). |
list_articlesList articles published on the Pavels Web Solutions blog (web development, performance, SEO).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many to return (default 20, max 50). |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It implies a read operation by saying 'list', but discloses nothing about ordering, pagination behavior, or result shape, and the limit/pagination detail lives only in the schema.
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?
A single front-loaded sentence with the resource first and the domain qualifier in parentheses; there is no filler to remove.
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?
For a one-parameter list tool with no annotations and no output schema, the definition covers what the tool returns conceptually but omits ordering and result-format expectations the agent would otherwise have to discover by calling it.
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?
Only one parameter exists and its schema description coverage is 100% (default 20, max 50), so the schema carries the meaning. The prose adds no constraint or format information beyond it, making the baseline 3 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?
States a specific verb (list) and resource (articles) and even scopes the content domain (web development, performance, SEO), so the agent knows what it will get back. It does not explicitly distinguish itself from siblings like list_case_studies or search_content, but the resource is unambiguous enough to separate it.
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?
There is no indication of when to choose this over search_content (keyword search) or read_page, nor any prerequisites or exclusion conditions. Usage is only implied by the name and the domain note.
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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