Get page source
post_get_page_sourceFetches and returns page source of provided url. Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | No |
post_get_page_sourceFetches and returns page source of provided url. Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the primary behavior (fetching and returning page source) and mentions billing. However, it does not mention potential side effects, error handling, rate limits, or whether it is read-only. Given no annotations, more transparency could be provided.
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 extremely concise and well-structured, containing only essential information in two short sentences. No wasted words.
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 simple tool with one parameter and no output schema, the description adequately states what it returns ('page source') and the billing cost. It could be more complete by mentioning error cases or encoding, but it is sufficient for basic understanding.
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 the parameter 'url' with type and example. The description adds minimal meaning by restating 'of provided url,' which is already implied by the parameter name. Baseline is 3 due to full schema coverage, and no significant additional semantics are added.
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 tool's function: 'Fetches and returns page source of provided url.' This is a specific verb and resource, leaving 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 description implies usage (when you need the page source of a URL) but does not explicitly state when to use it over alternatives or provide any exclusions. Since there are no sibling tools, this is acceptable but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
With only one tool there is nothing to disambiguate, so ambiguity is trivial. However, the tool's name 'post_get_page_source' confuses its own purpose by mixing POST and GET semantics, making it unclear what the tool actually does without reading the description.
A single tool name cannot establish a consistent pattern across tools, but the name itself is internally inconsistent, combining 'post' and 'get' prefixes which suggest conflicting conventions. The snake_case styling is fine, but the contradictory verb choices lower the score.
A single tool feels thin for a server named 'cloudflare-solver', since solving Cloudflare challenges typically involves more than just fetching page source. However, one tool can be acceptable for a narrowly defined purpose, placing it right at the borderline.
The server only fetches page source, which is a minimal subset of what a Cloudflare-solving tool should do. Missing crucial capabilities like handling cookies, solving interactive challenges, setting headers, or retrying, making the server likely to hit dead ends on real-world tasks.