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
Scored across 4 tools
Each tool has a clearly distinct purpose: one fetches a single registry row, one lists all registry rows, one lists the taxonomy vocabulary, and one traverses the capability spine. Even the two list tools that touch structural data are cleanly separated by their descriptions.
All tool names follow the same verb_noun pattern using lowercase snake_case: get_guide, list_capabilities, list_guides, list_taxonomy. The pattern is predictable and easy for an agent to infer.
Four tools is a well-scoped size for this read-only registry server. Each tool earns its place, covering single-item lookup, full listing, taxonomy, and capability traversal without unnecessary bloat.
For a registry and taxonomy exploration server, the surface is complete: you can access a specific guide, enumerate all guides, inspect the full vocabulary, and traverse the capability spine. There are no obvious dead ends or missing retrieval operations within the apparent read-only scope.
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 cover readOnlyHint=true and destructiveHint=false, and the description adds behavioral context about the returned row including 'artifact + routing-surface status'. For a simple getter with a safe read profile, this is sufficient behavioral disclosure.
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 that states the action, resource, lookup key, and result contents without any wasted words. It earns its place entirely.
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 simple complexity (one fully documented required parameter), the presence of an output schema, and annotations covering the safety profile, the description is complete enough for an agent to call it correctly. 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?
Schema description coverage is 100% and the schema already documents the slug parameter with an example. The description restates the 'by slug' lookup but adds no new semantic detail beyond what the schema provides, which matches the baseline for full coverage.
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'), a precise resource ('one guide's registry row'), and the lookup key ('by slug'). It adds what the result includes ('artifact + routing-surface status'), which distinguishes it from list_guides and other siblings that return full collections.
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 clearly implies when to use the tool: when you need a single guide registry row identified by slug, as opposed to listing multiple guides. It provides clear context (single vs. list) but does not explicitly name alternatives or state when-not-to-use conditions.
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?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: the join semantics across entities and the crucial null interpretation — 'treat null as not yet joined, never as no link.' This is not merely restating annotations and materially improves correct usage.
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 dense, purposeful sentences. The first sentence states the core purpose and scope; the second delivers high-value usage patterns and the critical null-semantics warning. No filler or repetition of annotation or schema 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?
For a 12-parameter tool with 100% schema coverage, an output schema, and safety annotations, the description is largely sufficient. It supplies the essential domain-level context: what the capability spine is, how it joins entities, and how to interpret unresolved links. A small gap is that it does not guide an agent on combining filters or when to use sibling tools, but the schema fills most remaining needs.
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's mentions of min_guides, role, and capability_detail largely restate what the schema already documents; the novel null-semantics guidance concerns output fields rather than parameter meaning. It adds no significant parameter-level information beyond the schema.
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: 'Traverse the capability spine joining books, guides, KSAO-grade elements and jobs.' This clearly distinguishes it from sibling tools like get_guide and list_guides, which operate on individual guides or guide lists rather than the cross-entity capability graph.
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 recipes: min_guides=2 for cross-cutting capabilities, role=<role> for job requirements, and capability_detail=<slug> for hydrated package details. It does not, however, state when to prefer a sibling tool or explicitly say when not to use this tool, so it falls just short of a 5.
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?
Beyond the readOnly and non-destructive annotations, the description discloses that the response includes the distribution roll-up and intentionally includes guides whose home property has no rendering surface. This is a useful behavioral detail about inclusion criteria, and it does not contradict 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?
One well-formed sentence with a front-loaded verb-object phrase and no filler. It packs the essential scope and roll-up detail without burying the main point.
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 fully documented input schema, rich output schema, and safety annotations cover most of what an agent needs to call this tool correctly. The only notable gap is the lack of usage guidance versus sibling tools, which keeps it from being fully 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?
The description itself adds no parameter-level detail, but the input schema covers 100% of parameters with descriptions, enums where applicable, and examples. The schema therefore carries the full parameter semantics, making the baseline 3 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 opens with a concrete action and object: 'List the bicycle.guide registry', then specifies the row content (home, status, access, standard, syndication, grounding) plus the distribution roll-up. This makes it unmistakably a broad registry listing tool rather than a single-guide lookup.
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 guidance is given about when to prefer list_guides over get_guide, list_capabilities, or list_taxonomy. The phrase 'every guide' implies an overview use case, but there are no explicit alternatives, exclusions, or conditions.
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?
Annotations already cover readOnlyHint and destructiveHint. The description adds useful behavioral context beyond that: the output is machine-readable data rather than prose, includes live guide counts, and covers specific taxonomy categories. 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 information-dense sentence with the core action front-loaded. Every element—content list, live counts, machine-readable format—adds value without 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?
With no parameters, an output schema present, and annotations covering safety hints, the description provides enough context by enumerating exactly what data is returned and noting the machine-readable format. Nothing important is missing for an agent to invoke this 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 baseline is 4. There is no parameter schema to supplement, and the description appropriately focuses on the tool's output rather than inputs.
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 a specific verb and resource: get the bicycle.guide vocabulary. It enumerates the contents (domains, shelves, series, personas, guide_types, classification conventions), which clearly distinguishes it from siblings like get_guide and list_guides.
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 an agent needs the program's taxonomy or classification conventions, and adds 'as machine-readable data rather than prose' as a context signal. However, it does not explicitly state when to prefer this tool over siblings or mention any exclusions.
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.
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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
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For server owners:
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Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
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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
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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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