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

No annotations are provided, so the description carries the behavioral disclosure burden. It fully describes the read-only nature ('Return metadata') and the exact fields returned. No mutation, side effects, or hidden requirements are relevant for this simple tool.

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?

Single sentence, front-loaded with the verb and resource, followed by a concise enumeration of returned fields. No filler or redundancy.

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 no-parameter server-info tool with no output schema, the description is entirely sufficient: it names the core returned elements and distinguishes the tool from content-focused siblings. Nothing necessary is missing.

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 tool has zero parameters, so the schema needs no elaboration; baseline for 0-parameter tools is 4. The description does not introduce any parameter-related ambiguity.

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?

Description uses specific verb 'Return' with explicit object 'metadata about this MCP server' and enumerates concrete content: version, data source, coverage, tool list. Clearly distinct from sibling tools that search/retrieve guidance and advisories.

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 makes clear this is for server-level metadata, not domain content, so an agent can infer when to select it. It does not explicitly name alternative tools or exclusion conditions, but the context is unambiguous.

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

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

No annotations are provided, so the description carries full weight. It implies a read-only lookup with an exact reference but does not disclose behavior on missing/unknown references or describe the shape/content of the returned advisory. This is acceptable for a simple getter but leaves some edge-case behavior unspecified.

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 sentence with no filler, front-loading the action and target. It conveys everything necessary without redundancy.

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 single-parameter lookup tool with full schema coverage and no nested objects, the description is largely sufficient. The only minor gap is the lack of any mention of return contents or not-found behavior, which would be useful given there is no output schema, but the tool's simplicity keeps this from being a major omission.

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%, and the 'reference' parameter is already fully documented in the schema. The description adds only an example that duplicates the schema's example, so it adds no significant meaning beyond the structured definition.

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?

Description uses a specific verb ('Get') and resource ('CERT-EE security advisory') with a precise key ('by reference') and a concrete example. It is clearly distinct from sibling search tools like ee_cyber_search_advisories.

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 phrase 'by reference' makes the retrieval context clear: use when you already have an exact advisory ID. It does not explicitly name search_advisories as the alternative for queries without a reference, so it lacks an explicit when-not, but the intended usage is evident.

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

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

With no annotations provided, the description must carry the behavioral burden. It clearly indicates a read-only 'get' operation and specifies the exact target resource. It does not describe error behavior or response format, but the simple fetch-by-reference nature is transparent enough; the verb 'Get' and resource phrasing provide the key behavioral context.

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, well-structured sentence that front-loads the action and resource, then adds high-value examples. No filler or redundant wording.

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 retrieval tool with no output schema and no annotations, the description is nearly complete: it states what is returned and how to specify it. Minor omissions such as error handling or exact response format are acceptable given the low complexity and the clarity of the described operation.

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% description coverage for the single parameter, so the baseline is met. The description goes beyond the schema by giving multiple concrete reference format examples ('RIA-ISKE-2023', 'RIA-juhend-001', 'CERT-EE-TG-2024-01'), which helps the agent understand expected syntax and naming patterns.

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 uses a specific verb ('Get') and resource ('RIA guidance document'), and clearly identifies the selection method ('by reference'). It distinguishes this tool from the sibling search tools by emphasizing retrieval of a specific known document rather than discovery or listing.

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 this tool should be used when the agent already has a document reference, and the examples reinforce that. However, it does not explicitly state when not to use it or mention that ee_cyber_search_guidance should be used when the reference is unknown, leaving the contrast with siblings implied rather than explicit.

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

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

With no annotations, the description carries the behavioral disclosure burden. 'List all' clearly signals a read-only enumeration, and 'covered in this MCP' scopes the behavior to a curated internal catalog. It could add more detail about result structure or lack of side effects, but for a no-param listing tool the core behavior is sufficiently disclosed.

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 a single, front-loaded sentence that states the operation first and then gives useful examples. Every word contributes meaning, with no filler or repetition.

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 no-parameter list operation, the description is largely complete: it identifies the resource, the scope, and examples. Since there is no output schema, the agent must infer the return shape from 'List,' but the expected result is straightforward enough that this is a minor gap.

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?

There are zero parameters, so the baseline for this dimension is 4. The description adds no parameter-specific detail, but none is needed because the input schema is empty and cannot be misunderstood.

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 uses a specific verb ('List') with a clear resource ('all RIA/CERT-EE cybersecurity frameworks covered in this MCP'). It names concrete examples (ISKE, national cybersecurity strategy, NIS2 implementation framework) and is clearly distinct from the sibling advisory/guidance tools.

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 when to use it: when the agent needs the complete catalog of frameworks covered by this MCP. However, it does not explicitly state when not to use it or name any alternative tool, so usage guidance is only implicit rather than prescriptive.

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

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

With no annotations provided, the description carries the behavioral burden. It does disclose the return content and notes CVE references are included 'where available', which is useful, but it does not mention potential side effects, data freshness, pagination behavior, or whether incident alerts differ from advisories.

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 two concise sentences with no filler. The main search action and target resource are front-loaded, and the return-value sentence adds meaningful context without redundancy.

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 straightforward search tool, the description plus fully documented schema gives enough to call it correctly. However, the lack of an output schema and annotations means the agent gets no detail on result formatting, ordering, or how the returned fields map to the query, leaving some ambiguity.

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 already have clear descriptions in the input schema, including an enum for severity and examples for query. The tool description repeats only the concept of severity and CVE references without adding new parameter-level meaning, so the baseline 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 identifies the operation as 'Search CERT-EE security advisories and incident alerts', which is a specific verb and resource. It also tells the caller what kind of results to expect (severity, affected products, CVE references), making it distinguishable from siblings like search_guidance or list_frameworks.

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 gives no guidance on when this tool should be used instead of ee_cyber_get_advisory or ee_cyber_search_guidance. There is no mention of alternatives or exclusion criteria, so the agent must infer usage solely from the tool name and resource type.

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

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

With no annotations, the description carries the transparency burden and it does reasonably well: 'Full-text search' and 'Returns matching documents with reference, title, series, and summary' communicate a read-only search behavior and output shape. It does not mention pagination, result ordering, or authentication requirements, so not a 5.

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 compact sentences: the first states the action and corpus; the second lists covered sources and return fields. No filler or repetition; the headline verb is front-loaded.

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 no-output-schema search tool, the description names the return fields and the document sources, and the schema covers all parameter constraints and defaults. The main contextual gap is routing guidance versus ee_cyber_search_advisories, already penalized in usage_guidelines.

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 parameters (query, type, limit, series, status) are already fully documented in the schema. The description adds no extra parameter-level meaning, which matches the baseline 3.

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 opens with a specific verb and resource: 'Full-text search across RIA cybersecurity guidelines, directives, and technical standards.' The scope is clear and the content list (ISKE, RIA guidance, NIS2, national strategy) makes the searchable corpus specific, but it does not explicitly distinguish itself from the sibling ee_cyber_search_advisories.

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 guidance on when to use this tool over siblings such as ee_cyber_get_guidance or ee_cyber_search_advisories, and no exclusions or alternative routing. The coverage list implies a search use case, but agents must infer when not to use it.

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