protectwith-kb
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AI-security knowledge as MCP: standards-mapped tools (OWASP, NIST, MITRE) for AI agents.
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.6/5 across 8 of 8 tools scored. Lowest: 2.9/5.
Each tool has a distinct purpose: building checklists, classifying threats, mapping compliance, fetching by ID, listing entities, mapping framework IDs, traversing relationships, and semantic search. There is no overlap or ambiguity.
All tools use the 'kb_' prefix followed by a descriptive word, but the pattern varies: some are verbs (classify, get, list, search), one is a noun (checklist), and one is an adjective (related). Mostly consistent but with minor deviations.
8 tools is an appropriate number for a read-only knowledge base, covering the essential retrieval, search, and mapping operations without being excessive.
The tool set covers all necessary read operations for a security knowledge base: search, classification, compliance mapping, entity retrieval, listing, relationship traversal, and checklist generation. No obvious gaps given the read-only scope.
Available Tools
8 toolskb_checklistBInspect
Build an actionable security checklist of controls and guidance for a described component, query, or segment. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| tags | No | Optional tag filters (reserved for future use) | |
| query | No | Natural-language description of the component to review | |
| segment | No | Segment identifier to scope the checklist (e.g. 'llm-app') |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It states 'Read-only' which indicates no side effects, but it does not explain how the checklist is built (e.g., generated vs. retrieved), nor does it disclose any behavioral traits like rate limits or dependencies. The phrase 'Build an actionable security checklist' suggests generation, which could conflict with 'Read-only' but is not clarified.
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 concise: two short sentences with no waste. The core action is front-loaded, and the 'Read-only' caveat is appended. Every sentence serves a purpose.
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?
Given the tool has 3 parameters, no output schema, and multiple sibling tools, the description is incomplete. It does not explain what the checklist output looks like, how to interpret results, or how this tool differs from siblings like kb_map or kb_search. Users are left without enough context to use it effectively.
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%, so the baseline is 3. The description adds no new meaning beyond what the parameter descriptions already provide (e.g., 'tag filters reserved for future use', 'natural-language description', 'segment identifier'). It does not elaborate on format or constraints.
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 (Build), the resource (security checklist), and the scope (for a described component, query, or segment). It distinguishes from sibling tools like kb_search or kb_classify by focusing on generating a checklist.
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 a security checklist is needed for a specific component, but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. The 'Read-only' note gives minimal context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_classifyAInspect
KB-grounded advisory threat classification for a piece of text. Returns the top-k matching threats with recommended controls. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| k | No | Number of threat matches to return (default 3) | |
| text | Yes | Text to classify against known threats |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Declares read-only and returns top-k threats with controls. No annotations provided, so description carries burden. Lacks details on performance, rate limits, or authentication.
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?
Two concise sentences covering purpose and output. No unnecessary 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?
Fully adequate for a simple tool with 2 parameters and no output schema. Read-only note and return value description suffice. Distinguishable from siblings.
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 coverage is 100% with descriptions for both parameters. Description adds little beyond schema: 'top-k' is hinted but not explicit. Baseline 3 is 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?
Clearly states it is a KB-grounded threat classification tool for text, returning top-k threats with controls. 'Read-only' distinguishes from mutation tools. Siblings like kb_search and kb_checklist have different purposes, so this stands out.
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?
Implies usage for threat classification but gives no explicit when-to-use or when-not-to-use guidance. No mention of alternatives among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_compliance_mapAInspect
Map security controls to compliance requirements they satisfy (e.g. SOC 2, ISO 27001, NIST). Optionally filter by framework. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Natural-language query to find relevant controls (used when control_ids is not provided) | |
| framework | No | Filter compliance results to a specific framework (e.g. 'SOC 2', 'ISO 27001', 'NIST') | |
| control_ids | No | Explicit list of control IDs to map |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It declares 'Read-only' and notes optional filtering, but does not disclose return format, pagination, or any side effects. Minimal behavioral context beyond the read-only nature.
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?
Two sentences, clearly front-loaded with the main action and examples. No unnecessary words, efficient and scannable.
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?
No output schema is provided, and the description does not explain the structure of the results (e.g., list of mappings, JSON). For a tool with 3 parameters, this leaves the agent uncertain about what to expect, making it less complete.
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?
All three parameters are described in the input schema (100% coverage), so the description adds minimal value beyond restating the purpose. The baseline of 3 is appropriate as the description does not enhance understanding of the parameters.
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 states a specific action: mapping security controls to compliance requirements, with examples of frameworks (SOC 2, ISO 27001, NIST). It distinguishes from sibling tools like kb_map by specifying 'compliance requirements' and 'Read-only', making the purpose clear and unique.
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?
It mentions optional filtering by framework, which guides usage. However, it does not explicitly state when not to use this tool or compare it to alternatives such as kb_map or kb_search, so it lacks full exclusion guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_getAInspect
Fetch one entity by its id. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Entity id |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions 'Read-only', which is a key behavioral trait. However, without annotations, it does not disclose error handling or auth requirements.
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?
Two concise sentences front-load the purpose and behavior, with 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?
Given the simple tool with one parameter and no output schema, the description adequately covers purpose and read-only nature, though it could mention error behavior.
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 already describes the 'id' parameter. The description adds no extra meaning beyond confirming it is used for fetching.
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 'fetch', the resource 'one entity', and the method 'by its id', distinguishing it from sibling tools like kb_list and kb_search.
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 have a specific id, but does not explicitly state when not to use it or provide alternatives like kb_search for fuzzy queries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_listAInspect
List all entities of a given type. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Entity type (e.g. 'threat', 'control', 'cloudflare') |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description correctly identifies the tool as 'Read-only', which is a key behavioral trait. However, with no annotations provided, it fails to mention other behavioral details such as pagination behavior, response format, or any limitations (e.g., max results). This leaves the agent without full understanding of side effects or output expectations.
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—two short sentences containing only necessary information: the core operation and the read-only nature. Every word serves a purpose, and the key action is front-loaded, making it highly efficient for an agent to parse.
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?
Given the tool's simplicity (one parameter, no output schema), the description covers the basics but lacks completeness for agent decision-making. Additional context like response structure (is it a list of IDs or full objects?), pagination, or error handling would improve completeness. The current description is minimally adequate but not thorough.
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 already provides 100% coverage for the single parameter 'type' with a clear description and example values. The tool description adds no further semantic value beyond what is in the schema, so the baseline score of 3 is 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?
The description clearly states the action ('List all entities') and the resource ('of a given type'), and explicitly marks it as read-only. This effectively differentiates it from siblings like kb_get (individual entity) and kb_search (filtered search), 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?
While the description implies usage for listing all entities of a type, it does not explicitly state when to prefer this tool over siblings (e.g., ''for a list of all threats, use this; for specific criteria, use kb_search''). The sibling names provide context, but the description itself offers no direct guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_mapAInspect
Map a framework external id (e.g. LLM01) to threat, controls, and Cloudflare primitives. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| external_id | Yes | Framework reference id (e.g. 'LLM01', 'OWASP-ML01') |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It only states 'Read-only' and the mapping function, but does not disclose potential errors, rate limits, or output structure beyond the mapping itself.
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?
Two concise sentences with no fluff. Essential information is front-loaded: what it does and its read-only nature.
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?
Given one parameter and no output schema, the description covers the core functionality and non-destructive trait. Lacks output format details, but overall adequate for a simple mapping tool.
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 coverage is 100% for the single parameter. The description adds context on what the mapping produces but does not enhance parameter semantics beyond the schema example. Baseline 3 is 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?
The description clearly states it maps a framework external ID to threat, controls, and Cloudflare primitives, specified as read-only. This verb+resource pair is distinct from sibling tool names like kb_checklist or kb_search.
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?
No explicit guidance on when to prefer this tool over alternatives. The read-only hint is present but does not provide contextual usage boundaries or use-case examples.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
kb_searchBInspect
Semantic search over the security knowledge base. Read-only.
| Name | Required | Description | Default |
|---|---|---|---|
| k | No | Number of results to return (default 5) | |
| type | No | Filter results to this entity type (e.g. 'threat') | |
| query | Yes | Natural-language search query |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries the full burden. States 'read-only' which is helpful but does not disclose other behavioral traits like rate limits, response format, or pagination. Schema covers all parameters but description adds little beyond 'semantic' and 'read-only'.
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?
Highly concise, one sentence plus a tag. Front-loaded with key information. No extra 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?
Despite simple parameters, the tool is a semantic search with no output schema. The description omits important context such as what the results look like (IDs, snippets, scores), whether it indexes all content, and any special behaviors. Agent may need to guess return format.
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%, so each parameter is described. The description does not add any additional meaning beyond what the schema already provides. Baseline 3 is 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?
Clearly states 'semantic search over the security knowledge base' with specific verb and resource. Distinguishes from sibling tools like kb_get, kb_list which are likely for retrieval rather than search.
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?
Only mentions 'read-only' but provides no explicit when-to-use or when-not-to-use guidance. No comparison with sibling tools or conditions for choosing this tool over alternatives.
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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