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 has a clear target: single registry row vs. full registry listing vs. capability spine vs. taxonomy vocabulary. The only potentially adjacent pair is list_capabilities and list_taxonomy, but their descriptions cleanly separate capabilities/jobs/elements from domains/shelves/personas.
All tool names follow a consistent verb_noun pattern: get_guide for retrieval and list_* for enumerations. Pluralization is used logically, and no camelCase or vague verbs appear.
Four tools is a well-scoped set for a read-only registry server. Each tool covers a distinct slice of the domain, and list_capabilities absorbs what might otherwise be several separate capability lookup tools.
For a read-only guide registry, the surface is complete: retrieve one guide, list all guides, explore the capability spine, and get the taxonomy. The capability_detail and role parameters fill the main drill-down gaps, and no mutation operations are implied by the server's stated 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?
The annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds some context about returned status fields, but no significant behavioral traits beyond what annotations and the output schema already convey. No contradiction with 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?
The description is a single, front-loaded sentence with no filler. Every phrase earns its place, and the core retrieval action is stated first, with the extra return detail appended efficiently.
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 lookup with one required, fully documented parameter, an output schema present, and rich annotations, the description is complete. An agent has enough information to invoke the tool correctly without needing more detail.
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 schema fully documents the slug parameter. The description's 'by slug' phrase reinforces that the tool retrieves by slug but does not add meaning beyond the schema's example and type.
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 and resource: 'Get one guide's registry row by slug,' which is clearly distinct from the sibling listing tools. It also specifies the additional return context ('artifact + routing-surface status'), making the tool's purpose unambiguous.
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 rather than explicit: 'by slug' signals that this is for retrieving a single known guide, while siblings like list_guides handle enumeration. However, the description does not explicitly state when to use this tool over alternatives or provide any exclusion criteria.
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?
Beyond the readOnlyHint and destructiveHint annotations, the description adds valuable behavioral context: it explains that ksao_type/canon_component_id are null by design and instructs the agent to interpret null as 'not yet joined' rather than 'no link'. It also discloses hydration behavior for capability_detail, which is not visible in the annotations or schema alone.
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 three sentences and every sentence earns its place: the first states the core purpose, the second gives the most important usage patterns, and the third clarifies a critical null-semantics caveat. The highest-value guidance 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?
With 12 parameters, an output schema, and read-only annotations, the description does not need to repeat schema details. It covers the main usage modes, the null behavior, and the joining/hydration semantics, which is sufficient for an agent to call the tool correctly. It could have named siblings to fully orient the agent, but 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?
Schema coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema by explaining the intent behind key parameters: min_guides=2 finds cross-cutting capabilities, role returns job-required elements, and capability_detail returns a hydrated package. This extra semantic layer lifts the score.
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 ('Traverse') and a specific resource ('the capability spine') while naming the joined entities: books, guides, KSAO-grade elements and jobs. It clearly distinguishes this tool from siblings like get_guide and list_guides by positioning it as a cross-entity traversal tool.
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 usage patterns for min_guides=2, role, and capability_detail, which tells an agent how to accomplish common goals. It does not explicitly name sibling tools or state when not to use this tool, but the traversal framing plus the parameter-level guidance supplies clear practical direction.
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?
Annotations already provide readOnlyHint=true and destructiveHint=false, and the description adds valuable scope details: it lists every guide's fields and explicitly includes guides homed to properties with no rendering surface in the distribution roll-up. This behavior goes beyond what the schema and annotations express.
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 with an em-dash list of field categories and a parenthetical clarifying roll-up inclusion. Every part earns its place, with 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?
The output schema covers return shape, annotations cover safety, and the description adds the key conceptual detail—the distribution roll-up and inclusion of unrendered guides. For a read-only registry listing tool with optional filters, no critical information 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?
Schema description coverage is 100% for all 13 parameters, so the schema already handles parameter meaning. The description adds no parameter-specific detail, which is acceptable; 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 identifies a concrete verb and resource: 'List the bicycle.guide registry' and enumerates the returned fields (home, status, access, standard, syndication, grounding, distribution roll-up). This is specific enough to distinguish from siblings like get_guide, list_capabilities, and 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 makes clear this is the tool for enumerating the full guide registry, including the roll-up of guides with no rendering surface. It does not explicitly name get_guide as the alternative for single-guide lookups, but the context is clear and no exclusions are needed.
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 readOnlyHint annotation already covers safety, and the description adds context by indicating the tool returns vocabulary data rather than performing actions. It does not describe side effects, but none are expected given the annotation.
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 clear sentence that packs useful detail about what the vocabulary includes. It is slightly dense with enumerated items but remains concise and understandable.
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 zero parameters and an output schema available, the description sufficiently communicates the tool's purpose and scope. It could mention whether the result is a flat list or structured object, but the output schema likely covers that.
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 no parameters, and the schema coverage is 100%, so no additional parameter explanation is needed. The description focuses on the returned vocabulary content, which 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 tool gets the bicycle.guide vocabulary and enumerates its contents (domains, shelves, series, personas, guide_types, classification conventions). It is specific and distinct from siblings like list_guides and list_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?
The description does not explicitly state when to use this tool versus the sibling tools. It mentions 'as machine-readable data rather than prose' but provides no decision guidance or comparison to list_guides/list_capabilities.
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.
Discussions
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