guide-registry
Server Details
Read-only Bicycle Guide registry: published guides, homes, taxonomy, capability spine. No auth.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Each tool targets a distinct query surface: single guide lookup, full registry listing, capability traversal, and taxonomy vocabulary. The only mild overlap is between list_guides and list_capabilities, since guides are described as capability packages, but the descriptions make the boundary clear enough.
All tool names follow a consistent get_<singular> / list_<plural> pattern: get_guide, list_capabilities, list_guides, list_taxonomy. The naming clearly signals both the operation and the resource being queried.
Four tools is a well-scoped size for a read-only registry explorer. Each tool earns its place by covering a different registry-related concern: individual retrieval, full listing, capability mapping, and taxonomy.
For a read-only registry and discovery surface, the set is largely complete: you can fetch a single guide, list all guides, browse taxonomy, and traverse capabilities by role or detail. The main gaps are lack of direct search/filtering across registry fields and no management operations, but those appear outside the server's apparent purpose.
Available Tools
4 toolsget_guideGet one guide's registry rowARead-onlyInspect
Get one guide's registry row by slug, with its artifact + routing-surface status.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The guide slug, e.g. start-a-company. |
Output Schema
| Name | Required | Description |
|---|---|---|
| guide | Yes | |
| api_version | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safe-read profile is covered. The description adds that the row includes artifact and routing-surface status, giving useful return context, but does not discuss not-found behavior or access requirements; the annotations carry most of the safety burden.
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 action and resource. The opening repeats the title almost word-for-word, which is slightly redundant, but there is no filler and the added clause 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 one-parameter read-only tool with an output schema and safety annotations, the definition is largely complete. The only gap is the lack of explicit guidance on missing slugs or when to prefer list_guides, both of which are minor for this simple lookup.
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% for the single required slug parameter, and the description only restates that lookup is by slug. It adds no new semantic detail beyond the schema, so the baseline of 3 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 states a specific verb ('Get'), a specific resource ('one guide's registry row'), and the lookup key ('by slug'), clearly distinguishing it from the sibling list_guides. It also mentions what is included in the result (artifact + routing-surface status).
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 retrieving a single registry entry by slug, which implies a targeted lookup rather than enumerating guides via list_guides. It does not explicitly name alternatives or exclusion cases, but the context signals and 'one guide' phrasing provide sufficient guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_capabilitiesTraverse the capability spine (books · guides · KSAO elements · jobs)ARead-onlyInspect
Traverse the capability spine joining books, guides (capability packages), KSAO-grade elements and jobs. Use min_guides=2 for the cross-cutting capabilities that span many guides, role= for what a job requires, capability_detail= for one package with its elements and books hydrated. ksao_type/canon_component_id are null by design where unresolved — treat null as 'not yet joined', never as 'no link'.
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | Substring match on the element label. | |
| role | No | Elements required by this job role, e.g. compensation-analyst. | |
| limit | No | Cap the rows returned (default 200). `total` always reports the true count. | |
| has_job | No | Only elements that some job requires (via a career guide). | |
| ksao_type | No | knowledge | skill | ability | other — from a panel validated at 95.1% on gold O*NET labels. 'other' is UNVALIDATED (no gold labels existed for it). | |
| capability | No | Elements taught by this capability (guide slug). | |
| min_guides | No | Only elements taught by >= N capabilities. 2 gives the cross-cutting spine. | |
| conflicting | No | Only elements where 2+ non-career guides define the same label differently — these need a ruling. | |
| construct_class | No | person-attribute (knowledge/skill/ability — what a JOB requires and a learner develops) | condition-or-outcome (what a capability PRODUCES, e.g. 'Retention & Workforce Stability'). Only ~30% of elements are person attributes — filter to these for 'what does this role need'. | |
| capability_detail | No | Return ONE capability with its elements and books hydrated, instead of querying elements. | |
| has_canon_identity | No | true = only elements resolved to a JobFrame canon component (an IDENTITY, panel-adjudicated). false = only unresolved. | |
| canon_promotion_candidate | No | true = only elements the JobFrame canon has NO component for. This is a real answer, not a failed lookup — these are the constructs to PROMOTE into the canon. |
Output Schema
| Name | Required | Description |
|---|---|---|
| total | No | |
| elements | No | |
| returned | No | |
| capability | No | |
| spine_meta | Yes | |
| api_version | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds valuable behavioral context beyond the readOnlyHint annotation: null values mean 'not yet joined' rather than 'no link', only ~30% of elements are person attributes, and ksao_type has validation caveats. This meaningfully reduces misinterpretation risk for an agent.
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 compact and each sentence earns its place: the first defines the traversal, the second gives concrete usage patterns, and the third handles null semantics. Information is front-loaded with no filler.
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 12-parameter read-only traversal with a full output schema and complete schema descriptions, the description covers the conceptual model, key usage recipes, and the most dangerous misinterpretation (null handling). It appropriately leaves granular parameter details to the schema.
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 input schema already documents all 12 parameters, so the baseline is 3. The description elevates this by explaining how select parameters work together—min_guides=2, role, capability_detail—and how to interpret null results for unresolved joins. This is useful but does not deeply augment every parameter.
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 a specific traversal operation joining books, guides, capability packages, KSAO-grade elements, and jobs, so an agent understands the tool's scope. It does not explicitly contrast with sibling tools like list_guides or get_guide, but the cross-entity joining language makes the purpose reasonably distinct.
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 explicit parameter recipes: min_guides=2 for cross-cutting capabilities, role=<role> for job requirements, and capability_detail=<slug> for a hydrated package. It does not name alternatives or say when not to use this tool versus list_guides/get_guide/list_taxonomy, so it lacks explicit exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_guidesList the guide registryARead-onlyInspect
List the bicycle.guide registry — every guide's home, status, access, standard, syndication and grounding, plus the distribution roll-up (including guides homed to a property with no rendering surface).
| Name | Required | Description | Default |
|---|---|---|---|
| home | No | Filter by owning property, e.g. jobframe, peopleanalyst, penwright. | |
| limit | No | Cap the rows returned. Default 100, max 500. | |
| access | No | Filter by access: free | gated. | |
| domain | No | Filter by life-domain — the layer ABOVE the subject shelf: work | life | play. Derived from the guide's category via content/registry/shelves.json. `rollup.by_domain` lists them. | |
| fields | No | Row shape. "compact" returns only slug/title/home/status/access/price_cents/has_artifact/category/domain/personas/canonical_url — no rollup, no registry_meta. "full" returns the entire decorated registry row plus the rollup and registry_meta, as before. Default over this server: "compact". | |
| series | No | Filter by guide series — the operational grouping of guides made to be used together, e.g. competencies, penwright-writing, startup-journey, ladder:hr-business-partner. | |
| status | No | Filter by status: on | draft. | |
| persona | No | Filter by the audience a guide serves, e.g. people-analytics-professional, aspiring-author, executive-performance-leader. A guide can serve several; this matches any of them. | |
| category | No | Filter by subject shelf — the reader-facing topic axis, e.g. field, skills, analytics, writing, comp. Matches the primary category OR a cross-shelf tag. | |
| standard | No | Filter by standard: bicycle | life-stage | problem-opportunity. | |
| guide_type | No | Filter by guide CLASS: career (level-based job guides, their own program) | capability | book_profile. Combine with series=ladder:<role> to get one role's whole ladder. | |
| has_artifact | No | Only guides that do (true) / do not (false) have a new-design artifact. | |
| home_unrouted | No | Only guides whose home has NO rendering surface at all (the distribution gap). |
Output Schema
| Name | Required | Description |
|---|---|---|
| count | Yes | |
| limit | Yes | |
| fields | Yes | |
| guides | Yes | |
| rollup | No | |
| filters | Yes | |
| api_version | Yes | |
| registry_meta | No | |
| total_matching | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With readOnlyHint and destructiveHint already covering the safety profile, the description adds useful behavioral context: it lists every guide and explicitly includes the distribution roll-up, even for guides homed to a property with no rendering surface. This non-obvious inclusion criterion is valuable beyond the annotations.
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 delivers the core purpose, the included fields, and the roll-up edge case without wasted words. The em-dash expansion and parenthetical are compact and earn their 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?
Given the rich input schema, annotations, and output schema, the description only needs to supply scope and non-obvious behavior, which it does. The only slight gap is not explicitly framing when to use this tool instead of the sibling registry/list tools, though the schema and annotations carry most of the calling context.
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 input schema already documents all 13 parameters in detail, including examples and filter semantics. The tool description adds no parameter-level guidance; it focuses on output scope, which is appropriate but not additive for parameter understanding.
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: 'List the bicycle.guide registry'. It then enumerates what is included — every guide's home, status, access, standard, syndication and grounding — and distinguishes this registry-wide listing from the more specific sibling tools like get_guide or list_taxonomy.
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 is the tool for a registry-wide overview or distribution roll-up, but it never explicitly states when to choose it over siblings like get_guide or list_capabilities. No exclusions or alternative conditions are provided, so the agent must infer the intended context from the word 'registry'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_taxonomyGet the guide program's vocabularyARead-onlyInspect
Get the bicycle.guide vocabulary — domains, shelves (with live guide counts), series, personas, guide_types, and the classification conventions (pillar/spoke, discriminant home, bicycle-guide-serves-all) as machine-readable data rather than prose.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| series | Yes | |
| domains | Yes | |
| shelves | Yes | |
| personas | Yes | |
| api_version | Yes | |
| conventions | Yes | |
| guide_types | Yes | |
| counts_basis | Yes | |
| unclassified | Yes | |
| registry_meta | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already establish that this is a read-only, non-destructive operation. The description adds value beyond the annotations by specifying what data is returned, including dynamic 'live guide counts,' and by clarifying that output is machine-readable data rather than prose.
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?
One well-structured sentence front-loads the main purpose and then enumerates the exact vocabulary components. Every element earns its place, and the list of contents is valuable for agent decision-making without being verbose.
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-parameter, read-only tool with an output schema, the description is complete. It states what the tool returns and the structured nature of the result, so an agent has enough information to select and invoke the tool correctly.
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 leaves no ambiguity. The baseline for zero-parameter tools is 4; the description adds no parameter information because none is needed.
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 names a precise resource: the bicycle.guide vocabulary. It enumerates the contents (domains, shelves, series, personas, guide_types, conventions), which clearly distinguishes it from the sibling tools that retrieve guides or capabilities.
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?
Though the purpose is clear, the description does not explicitly explain when to choose this tool over list_guides, list_capabilities, or get_guide. Usage is implied: an agent needing the vocabulary or classification conventions should use this, but no exclusions or alternative conditions are stated.
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. Dates show when Glama detected each change.
4 tool updates
- First observed
get_guide - First observed
list_capabilities - First observed
list_guides - First observed
list_taxonomy
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity – fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge – works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge – works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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