Beacon by EVAA
Server Details
Read-only facts about Beacon by EVAA: what it is, its offers and its AI search resources.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 4 tools
Each tool targets a distinct resource: get_overview (company), list_offers (services), list_resources (article index), and get_resource (single article by slug). The list/get pairing on resources is a familiar convention that agents can easily distinguish.
All four tools follow a consistent verb_noun pattern (get_overview, get_resource, list_offers, list_resources). Verbs (get/list) map cleanly to singular vs plural resources.
Four tools is on the thin side but appropriate for a small informational/brochure server. Each tool earns its place with no filler.
Covers the core lifecycle: company overview, service listings, article index, and full article retrieval. A search or filter operation for articles would round it out, but no dead ends exist for the stated purpose.
Available Tools
4 toolsget_overviewWhat Beacon isARead-onlyInspect
What Beacon by EVAA is, who operates it, where it is based and how to reach it.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the content scope (operator, location, contact) but says nothing about return format or whether the payload is static versus dynamic.
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 front-loaded sentence with no filler; every clause maps to a distinct piece of returned content.
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?
With no output schema, the description usefully enumerates the fields an agent can expect (who operates it, where based, how to reach it), which is the right compensation for a zero-param informational tool. Minor gap: no indication of return shape or size.
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 takes zero parameters, so the baseline is 4. There is no parameter semantics to explain and the schema is trivially complete.
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 names the specific resource (an overview of Beacon by EVAA) and enumerates the content it covers: operator, location, contact. It is clear what the tool returns and it is distinguishable from get_resource/list_offers/list_resources, though it does so implicitly rather than by contrast.
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 explicit when-to-use guidance and no mention of the sibling tools. An agent can infer this is the 'about the entity' lookup, but nothing states when to prefer it over get_resource or the list_* tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_resourceRead one resourceARead-onlyInspect
The full text of one published Beacon article. Takes the slug returned by list_resources.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Article slug from list_resources. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that the returned content is the 'full text' of a 'published' article (useful scope detail), but says nothing about return format, truncation, or errors. With annotations present, a 3 is appropriate.
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 tight sentences with zero filler; the purpose and the input provenance are both 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 simple read-only single-resource tool with no output schema, the description covers what is returned and where the input comes from. Only minor gaps remain, such as the text format (markdown vs HTML) and error behavior for unpublished slugs.
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 single slug parameter is documented in both schema and description identically ('from list_resources'). Baseline 3 applies since the schema does the heavy lifting and the description adds no new syntax or format meaning.
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?
States a specific verb+resource ('The full text of one published Beacon article'), which clearly distinguishes a single-item fetch from list_resources. It does not explicitly differentiate from get_overview, so it falls short of the 5 mark.
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?
Gives clear chaining context by stating the slug comes from list_resources, so an agent knows this is a follow-up call to a listing. No when-not-use guidance or exclusion against siblings like get_overview.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_offersBeacon's offersARead-onlyInspect
The three things Beacon sells (AI answer audit, visibility monitoring, enterprise and agency builds), who each is for and what is included. No prices: every engagement is quoted.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely non-structured context: that pricing is deliberately absent ('No prices: every engagement is quoted'), which stops an agent from hunting for or fabricating prices. It stops short of describing the return format or count.
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 tight sentences with no filler; the enumeration of offerings is front-loaded and the pricing caveat is appended where it matters. The parenthetical list is dense but each item earns its place.
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 zero-param, read-only listing tool with no output schema, the description supplies enough: what the three items are, what each entry covers, and what is explicitly not included. Only the concrete return shape (fields per offer) is left unspecified, which 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?
The tool takes zero parameters and schema coverage is 100%, so there is nothing for the description to disambiguate. Baseline 4 applies.
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 names the concrete resource ('the three things Beacon sells') and enumerates the three offerings plus their scope, so an agent knows exactly what comes back. It does not explicitly contrast itself with get_overview or list_resources, so the sibling differentiation is only implicit.
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?
Usage is implied by the content ('who each is for and what is included'), which tells the agent when the data is relevant, but there is no explicit when-to-use statement, no exclusions, and no pointer to get_overview or list_resources as alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_resourcesPublished resourcesARead-onlyInspect
Beacon's published articles on AI search, with title, summary, publication date and URL.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine value by disclosing the return payload fields (title, summary, publication date, URL), which is not captured anywhere else since no output schema exists. It omits result count/pagination behavior, keeping it short of 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?
A single, front-loaded sentence with no filler; the returned fields are appended compactly. It is appropriately sized for a zero-parameter listing tool, though the phrasing is more descriptive than directive.
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?
With no parameters and no output schema, the description carries the burden of explaining what comes back, and it does so by naming the four fields. It would be fully complete if it noted whether the list is exhaustive or paginated, but for this simple read tool nothing critical 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 takes zero parameters, which sets the baseline at 4. The description correctly implies no filtering or pagination inputs are required, and there is nothing further it needs to document about arguments.
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 resource (Beacon's published articles on AI search) and enumerates the returned fields, so an agent knows this is a collection-listing call. It implies a list verb without stating one, and it does not explicitly contrast with the singular get_resource sibling, leaving that differentiation to inference.
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 when-to-use or when-not-to-use guidance, and the sibling get_resource (singular) is never mentioned as the alternative for fetching a single item. The description only describes the content, so the agent must infer routing from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
- First observed
get_overview - First observed
get_resource - First observed
list_offers - First observed
list_resources
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