Spider MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
The tools are mostly distinct with clear purposes: batch scraping, content fetching, source fetching, and web searching. However, get_webpage_content and get_webpage_source could be confused as both fetch webpage data, though their descriptions clarify content vs. source distinctions.
Naming Consistency5/5All tool names follow a consistent snake_case pattern with clear verb_noun structure (e.g., batch_webpage_scrape, get_webpage_content). The naming is uniform and predictable across all four tools.
Tool Count5/5With 4 tools, this server is well-scoped for web-related tasks. Each tool serves a distinct function in scraping, fetching, and searching, making the count appropriate without being too sparse or bloated.
Completeness4/5The toolset covers core web operations: scraping, content retrieval, and searching. A minor gap exists in lacking tools for advanced processing (e.g., parsing or data extraction), but the provided tools support basic to intermediate workflows effectively.
Average 3.1/5 across 4 of 4 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
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 mentions 'concurrent processing support' but fails to detail critical aspects like rate limits, error handling, authentication needs, or what the tool returns (e.g., content, metadata). This leaves significant gaps in understanding how the tool behaves in practice.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose and key feature (concurrent processing) without unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a batch scraping tool with no annotations and no output schema, the description is insufficient. It lacks details on output format, error behavior, performance constraints, and how it differs from siblings. For a tool that likely involves network operations and concurrency, more context is needed to ensure safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema fully documents both parameters (urls and maxConcurrent). The description adds no additional semantic details beyond what the schema provides, such as URL format requirements or concurrency implications. Baseline score of 3 is appropriate as the schema handles parameter documentation adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('batch scrape') and resource ('multiple webpages'), specifying concurrent processing support, which distinguishes it from single-page scraping tools. However, it does not explicitly differentiate from sibling tools like get_webpage_content or get_webpage_source, which may also involve webpage retrieval, leaving some ambiguity in sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, such as get_webpage_content for single pages or web_search for search-based retrieval. It mentions concurrent processing but does not specify scenarios where batch processing is preferred over individual calls, offering minimal usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
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 mentions fetching and converting content but lacks critical details such as authentication requirements, rate limits, error handling, or whether it performs web scraping with potential restrictions. This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences that directly state the tool's function and supported formats, with no wasted words. It's front-loaded and efficiently communicates the core purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete for a web scraping tool. It doesn't address behavioral aspects like permissions, limitations, or response structure, which are crucial for proper usage. The high schema coverage doesn't compensate for these missing contextual elements.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds minimal value by listing the supported formats but doesn't provide additional semantic context beyond what's in the schema, such as examples or edge cases for the URL parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('fetch', 'convert') and resources ('webpage content'), and identifies the supported output formats. However, it doesn't explicitly differentiate from sibling tools like 'get_webpage_source' or 'web_search', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'batch_webpage_scrape' or 'get_webpage_source'. It mentions supported formats but doesn't explain scenarios where one format might be preferred over another or when to choose this tool over siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
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 mentions the search engine (Bing) and modes (web/news), but lacks critical details such as rate limits, authentication requirements, result format, pagination, or any constraints beyond what's in the schema. For a search tool with zero annotation coverage, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded in a single sentence, efficiently stating the core functionality. Every word earns its place, with no redundant information. It could be slightly improved by adding a brief second sentence for behavioral context, but it's well-structured as is.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (search with multiple modes and parameters), no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., search results format, links, snippets) or address behavioral aspects like error handling. This leaves significant gaps for an AI agent to use the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema by mentioning 'Bing search engine' and 'general web search and news search modes,' but doesn't provide additional semantic context for parameters like query formulation tips or timeFilter applicability. Baseline 3 is appropriate when schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Perform web or news search using Bing search engine.' It specifies the action (search), resource (web/news), and engine (Bing). However, it doesn't explicitly differentiate from sibling tools like 'batch_webpage_scrape' or 'get_webpage_content', which appear to be for retrieving specific pages rather than searching.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by mentioning 'general web search and news search modes,' but it doesn't provide explicit guidance on when to use this tool versus the sibling tools. There's no mention of alternatives or exclusions, leaving the agent to infer based on tool names alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but lacks behavioral details. It doesn't mention error handling, timeouts, authentication needs, rate limits, or what 'page information' includes. The description is minimal beyond the basic operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, front-loaded with the core purpose, zero wasted words. Every part of the description earns its place by specifying what's fetched and from where.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter tool with no annotations and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details about return format, error conditions, or behavioral traits that would help an agent use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents the single 'url' parameter thoroughly. The description adds no additional parameter context beyond what's in the schema, meeting the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Fetch'), resource ('raw HTML source code and page information'), and target ('webpage'). It distinguishes from potential siblings by specifying 'raw HTML source code' rather than processed content or search results.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives like 'get_webpage_content' or 'batch_webpage_scrape'. The description implies it's for raw source code, but doesn't clarify use cases or exclusions compared to siblings.
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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