Skip to main content
Glama

Save scraper

scraper_save
Destructive

Validate Python scraper source code, then save it under a given name for execution on the next run. Supports atomic compare-and-swap to prevent overwriting concurrent changes.

Instructions

Validate and atomically save a scraper for the next run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName without a directory or .py suffix
sourceYesComplete UTF-8 Python source defining async def scrape(ctx, params)
expected_revisionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already signal destructiveness. The description adds 'validate' and 'atomically', disclosing safety guarantees beyond the annotation. Missing are details on conflict behavior when expected_revision mismatches.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence of 8 words, front-loading the core action. Every word is meaningful with no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and well-documented parameters, the description is mostly complete but could be strengthened by mentioning what happens on validation failure or revision mismatch.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage at 67% (and all parameters having informative schema descriptions), the tool description adds little parameter-specific meaning beyond the atomic/validation context. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'save' with 'Validate and atomically' adding precise semantics. It clearly distinguishes from sibling scraper tools (list, get, run) which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (saving scrapers for runs), but does not explicitly state when to use this tool versus alternatives, nor provide when-not or prerequisite conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/namecallfilter/nodriver-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server