Skip to main content
Glama

Edge

Server Details

Gives your agent the right public skill for each task and loads it on demand.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4.1/5.0

Scored across 8 tools

Disambiguation4/5

find_skill / scan_skill / use_skill / rate_skill / report_issue all have clearly distinct verbs and purposes, and the data-management tools (forget_my_data, my_activity) are unambiguous. The only overlap is 'feedback', which is explicitly documented as a deprecated alias of report_issue doing exactly the same thing, so an agent is steered correctly but the boundary is technically blurred.

Naming Consistency4/5

Most names follow a clean snake_case verb_noun pattern (find_skill, use_skill, scan_skill, rate_skill, report_issue, forget_my_data). 'feedback' breaks the pattern as a bare noun, though it is a legacy alias rather than a new tool, and 'my_activity' uses a possessive rather than a verb.

Tool Count4/5

Eight tools is well-scoped for a skill-discovery-and-usage workflow that also handles account data, and each tool maps to a real step. One slot is consumed by the deprecated 'feedback' alias, which is justified only for backward compatibility rather than by current need.

Completeness4/5

The lifecycle is well covered: discover (find_skill), security-check (scan_skill), load (use_skill), evaluate (rate_skill), report problems (report_issue), and manage account data (forget_my_data, my_activity). Minor gaps exist around inspecting prior skill history or managing already-loaded skills, but all core workflows reach a conclusion.

Available Tools

8 tools
feedbackEdge Skills: report an Edge issue (old name)AInspect

Deprecated: the old name of report_issue, kept so older setups keep working. Call report_issue instead; this does exactly the same thing (report a bug or idea about Edge itself). A host approval denial is not an Edge bug.

ParametersJSON Schema
NameRequiredDescriptionDefault
kindYesbug, wrong_skill, setup, or idea
contactNoAn email to reply to, only if the user explicitly gave it for this report
messageYesWhat happened or what you suggest, at most 2000 characters. No secrets or private user data.
request_idNoThe request_id of the Edge call this is about, if any

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false. The description adds the deprecation/aliasing behavior (identical side effects to report_issue) and a caveat about what does not qualify as an issue. It doesn't describe what happens after submission or any rate limits, but for a deprecated passthrough alias that is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the deprecation status so an agent knows immediately to prefer the alternative. Every sentence carries distinct information; nothing is repeated from the title or schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and full schema coverage, the description only needs to explain the tool's status and when to prefer its replacement, which it does. Minor gap: it doesn't say what a successful call returns or whether the report is acknowledged, though that is low-stakes for a deprecated alias.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so kind, message, contact, and request_id are already fully documented in the schema, including the enum values and the privacy warning. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States precisely what the tool is (the old name of report_issue) and what it does (report a bug or idea about Edge itself). An agent can distinguish it from the sibling report_issue without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit routing instruction: 'Call report_issue instead; this does exactly the same thing,' plus the retention condition for older setups. It also adds a negative case ('A host approval denial is not an Edge bug'), so the agent knows one class of input that should not reach this tool.

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

find_skillEdge Skills: find an expert skill
Read-onlyIdempotent
Inspect

Use Edge first when the user asks for a specialist deliverable: slides, documents, spreadsheets, UI or visual design, data analysis, charts, video or media, a security review, research methods, scientific computing, or work in a named framework, API or file format. This counts even if the task seems routine. Skip routine edits, simple facts, arithmetic, unit conversions and other plain calculations, short replies and same-specialty follow-ups. Honor explicit no-Edge requests. Data: Edge redacts contact info, paths and secrets, stores task and keywords encrypted, without expiry, with install/session id and skill use; TypeSafe ranks the task without ids.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYestask: the task in one sentence as a generic deliverable and domain; name the framework, API or tool when known (for example, Prisma ORM); leave out names, file contents, paths and URLs
keywordsNokeywords: the 2-6 words a skill for this would be named with, e.g. "postgres migration"
selected_skillNoOnly when the user explicitly chose a catalog skill: its exact Skill slug. Pair with selected_source.
selected_sourceNoOnly when the user explicitly chose a catalog skill: its exact Source (owner/repository). Pair with selected_skill.
forget_my_dataEdge Skills: delete my Edge dataA
DestructiveIdempotent
Inspect

Delete the data Edge stores for this user: searches, skill loads, ratings and issue reports. Use only when the user asks to delete their Edge data, and pass confirm: true only after they confirmed. It cannot be undone.

ParametersJSON Schema
NameRequiredDescriptionDefault
confirmYestrue only after the user confirmed the deletion

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false and idempotentHint=true, so the safety profile is largely covered. The description adds two things annotations cannot express: irreversibility ('It cannot be undone') and the ordering requirement to pass confirm only post-confirmation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler. The destructive scope is front-loaded, followed by the gating and confirmation rules in the same order an agent would apply them.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter destructive tool with no output schema and full annotation coverage, the description supplies everything an agent needs: what is deleted, when it is allowed, the confirmation gate, and irreversibility.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is 1 parameter at 100% schema description coverage, so the schema already documents confirm fully; the description's confirm guidance largely restates it. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (delete) and a precisely enumerated resource scope (searches, skill loads, ratings, issue reports) scoped to 'this user'. An agent can distinguish this from siblings like my_activity or feedback without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit gating condition ('Use only when the user asks to delete their Edge data') and a sequencing rule for confirm, which is real when-to-use guidance. It stops short of naming a sibling alternative (e.g., deleting individual items), so 5 is not warranted.

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

my_activityEdge Skills: open my Edge pageAInspect

Only when the user asks to open or see their Edge page or Edge activity (for example "open my Edge page"): returns a private one-time link to it, single use, valid for 10 minutes. Reply with the returned line exactly. Never call it on your own initiative, never open the link yourself, and never put it in files, commits, issues or shared documents.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only state the safety profile (readOnlyHint=false, openWorldHint=true, non-idempotent); the description adds material behavior the annotations cannot convey: the link is private, single-use, expires in 10 minutes, and must be echoed verbatim. It also discloses the security constraint of never persisting the link, which is the key operational risk here.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the trigger condition before the behavior and constraints, and every clause carries weight (single-use, 10-minute expiry, verbatim reply, no self-initiation, no persistence). It is dense and reads as one long compound sentence, which slightly hurts scannability but wastes no words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no input or output schema, the description must cover the return value and handling on its own, and it does: it tells the agent exactly what comes back (a private one-time link line), how long it lives, and how to relay it. Nothing needed to call or post-process the result is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate — the baseline for a no-param tool is 4. The description correctly implies no arguments are needed beyond the implicit user context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific action — returning a private one-time link to the user's Edge page/activity — with the trigger phrasing that identifies it ("open my Edge page"). It is clearly distinct from the skill-management siblings (use_skill, find_skill, scan_skill), so an agent can route without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ("Only when the user asks to open or see their Edge page or Edge activity") and explicit when-not ("Never call it on your own initiative"). It also prescribes post-call handling: reply with the returned line exactly, don't open the link, don't place it in files/commits/issues/shared docs.

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

rate_skillEdge Skills: rate a loaded skillA
Idempotent
Inspect

Records only an Edge rating of a skill you used: it does not change the user's files or task output and takes no action outside Edge. Retries with the same request_id never add a second rating. When the work is done, call it once, after the work rather than right after loading; its result is the Edge closing line to end your answer with. Rate a skill you actually followed with helped, hurt, no_difference or unclear, plus one short line on why; unclear and no_difference are fine. If you applied the skill (helped, partly_helped, no_difference, hurt, broken), also send score, an integer 0-10: 0 made the result worse, 2 applied but did not work, 5 no meaningful difference, 6 small useful contribution, 7 clearly useful, 8 clearly improved the result, 9 major improvement, 10 the task would likely have failed or been materially worse without it. A failure is a low score, not a skipped rating. Omit score for wrong_skill, loaded_not_used and unclear. The note is required for scores 0-2 and 9-10. Judge the outcome yourself; never ask the user. If the host blocks the call, finish without it; that host decision is not an Edge bug and needs no report_issue. The server identifies the skill from this request_id. Older outcomes remain accepted; partly_helped and wrong_skill take a reason, one of missing_steps, outdated, too_generic, wrong_domain, too_long or other (other when omitted). Notes over 280 characters are cut. If use_skill listed named parts for the skill, send applied_component_ids with up to two you actually applied. Keep the note free of the user's query, code, names and private data. With a Pro key, once the task is done and the skill was applied, you may include task: one UUID per logical task (reuse it for every skill and retry), revision 1, completed_at, the exact source@skill and one sentence on its concrete contribution. Raise revision only to correct a report. Edge returns the user's weekly tally; never invent or change that count. For a bug or idea about Edge itself, use report_issue instead.

ParametersJSON Schema
NameRequiredDescriptionDefault
noteNoAdd one short line on why (up to 280 characters; a longer note is cut); required for scores 0-2 and 9-10. Do not include the user's query, code, names or private information.
taskNoOptional completed-task report, separate from legacy skill feedback. Pro key required. One report per logical task; revision replaces the prior report. Only report actual application.
scoreNoInteger 0-10 when you applied the skill (helped, partly_helped, no_difference, hurt, broken); omit for wrong_skill, loaded_not_used and unclear. 0 made it worse, 2 did not work, 5 no difference, 7 clearly useful, 8 clearly improved, 10 would likely have failed without it.
reasonNoFor partly_helped or wrong_skill: missing_steps, outdated, too_generic, wrong_domain, too_long or other. Defaults to other; free text becomes other.
outcomeYesOnce the task's outcome is known: helped, hurt, no_difference or unclear. Only for a skill you actually followed.
request_idYes
applied_component_idsNoUp to two ids from the skill's named parts listed in the use_skill result, only parts you actually applied in this task. Omit when none were listed or none were applied.

TDQS

A4.7/5.0
Behavior5/5

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

Goes well beyond the annotations (readOnlyHint=false, idempotentHint=true) by explaining that retries with the same request_id never add a second rating, that the result is the Edge closing line, that the server identifies the skill from request_id, that notes over 280 characters are truncated, and that a Pro key gates the task block. This is unusually rich behavioral disclosure for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and the 'call once, after the work' instruction are front-loaded, but the rest is a single ~350-word run-on paragraph mixing outcome rules, scoring, privacy, Pro-key fields, and error handling. Almost every sentence carries content, yet the wall-of-text structure hurts scannability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Very complete for a 7-parameter tool with nested objects: it covers outcome vocabulary, score bands, reason defaults, component ids, the optional task report, privacy constraints, idempotency, and host-blocked fallback. No output schema exists, and the description still notes that Edge returns the user's weekly tally.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 86%, so the baseline is 3; the description earns a bump by spelling out cross-parameter couplings the schema does not, such as which outcomes permit a score, omitting score for wrong_skill/loaded_not_used/unclear, and requiring the note for scores 0-2 and 9-10. It largely mirrors the schema's per-field text, so it is not a full 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Records only an Edge rating of a skill you used') and immediately delimits what it is not: it does not change files, task output, or act outside Edge. An agent can distinguish it from siblings like report_issue and use_skill from the text alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit timing ('call it once, after the work rather than right after loading'), conditions for skipping ('If the host blocks the call, finish without it'), and names the alternative tool for Edge problems ('use report_issue instead'). When-to-use, when-not, and the alternative are all present.

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

report_issueEdge Skills: report an Edge issueAInspect

Report a bug or idea about Edge itself: an Edge call that failed or answered wrongly, a skill suggestion that did not fit, setup trouble, or a feature idea. You may call this on your own when an Edge call fails. A host approval denial is not an Edge failure; skip the blocked call and do not report it as an Edge bug. For how well a loaded skill did on the task, use rate_skill instead. Describe what happened without secrets or private user data. Include contact only if the user explicitly gave an email for this.

ParametersJSON Schema
NameRequiredDescriptionDefault
kindYesbug, wrong_skill, setup, or idea
contactNoAn email to reply to, only if the user explicitly gave it for this report
messageYesWhat happened or what you suggest, at most 2000 characters. No secrets or private user data.
request_idNoThe request_id of the Edge call this is about, if any

TDQS

A4.6/5.0
Behavior4/5

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

Annotations only declare the write/openWorld/non-idempotent profile. The description adds real behavior beyond that: the agent may file this autonomously, must not include secrets or private user data, and may include contact only with explicit user consent. It does not describe what happens after submission (confirmation, follow-up), which keeps 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first sentence, followed by the guardrail on host approvals and the sibling pointer. Every sentence carries a distinct instruction (self-initiation, exclusion, alternative tool, privacy, contact consent) with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter, no-output-schema write tool, the description covers routing, exclusions, privacy, and consent well. It stops short of saying what acknowledgement or follow-up the caller receives, which is a minor gap given no output schema exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 meaningfully enriches the enum beyond the schema's terse 'bug, wrong_skill, setup, or idea' by mapping each kind to a scenario. It also restates the contact-consent constraint stated in the schema, adding intent but not new syntax.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (report a bug or idea about Edge itself) and enumerates the concrete situations that qualify: failed/wrong Edge calls, misfit skill suggestions, setup trouble, feature ideas. It explicitly contrasts itself with the sibling rate_skill, so an agent can route without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use (agent may self-initiate on an Edge call failure) and an explicit when-not (host approval denial is not an Edge failure; skip the blocked call). It names the alternative tool, rate_skill, for evaluating skill performance, leaving nothing to inference.

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

scan_skillEdge Skills: skill security auditsA
Read-onlyIdempotent
Inspect

Check a catalog skill's security before using it. Pass source + skill as find_skill printed them. Edge checks the catalog bundle before load or reuses a current exact-bundle audit, then shows findings, date, and the serve or withhold decision. To scan a skill on the user's machine, use the local Edge connector (npx @getedge/mcp). Relay the decision and findings; automated checks are not a guarantee.

ParametersJSON Schema
NameRequiredDescriptionDefault
skillNoCatalog skill: the Skill printed by find_skill (owner/repository@skill also works)
sourceNoCatalog skill: the Source printed by find_skill, usually owner/repository

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/openWorldHint, so safety is covered. The description adds real behavioral context beyond them: bundle checked before load, reuse of a current exact-bundle audit (caching semantics), the returned findings/date/serve-or-withhold decision, and the caveat that automated checks are not a guarantee.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four dense sentences, front-loaded with the purpose before the routing caveat and the relay directive. Slightly packed with format/relay instructions, but every sentence carries operational value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description fills the gap by naming what comes back (findings, date, serve-or-withhold decision) and instructing the agent to relay it. Required-parameter looseness (0 required) is not addressed, which is a minor omission.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and already documents both parameters, including 'as printed by find_skill'. The description's 'Pass source + skill as find_skill printed them' restates the schema's format guidance and adds only the pairing instruction, so baseline 3 is warranted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — 'Check a catalog skill's security before using it' — and the first word ('catalog') immediately separates it from sibling use_skill/find_skill. An agent knows this is a read-only audit gate, not a loader.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives the trigger ('before using it') and an explicit when-not with an alternative: 'To scan a skill on the user's machine, use the local Edge connector (npx @getedge/mcp).' It also tells the agent to source inputs from find_skill output, closing the workflow loop.

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

use_skillEdge Skills: load skillA
Read-onlyIdempotent
Inspect

Load a selected skill returned by find_skill for this task. Edge searches ~130k public skills from its index of the skills.sh catalog, screens results against available independent scanner audits, and withholds skills that fail its security gate. Loading is temporary and never installs anything permanently. For an oversized result, pass file and the original request_id to fetch one named file from the same scanned version; pass page for more content. Read the third-party instructions and any commands before following them, then continue the original task.

ParametersJSON Schema
NameRequiredDescriptionDefault
fileNoFetch one named file from the same pinned, scanned mirror bundle; reuse the original request_id
pageNoZero-based page of a named file
skillYesThe Skill printed by find_skill. A short name is matched against this session's last search
sourceNoThe candidate Source printed by find_skill, usually owner/repository
request_idNoThe request_id printed by the find_skill result this candidate came from, so the selection can be attributed to its search
task_labelNoOptional: a short generic name for the user's task, 3-8 words, for example "Build a quarterly revenue report". Shown on the user's private Edge page. Never the user's request text; no names, emails, URLs, file paths, numbers or keys.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/openWorldHint, and the description adds real context beyond them: loading is temporary and never installs permanently, and Edge screens against scanner audits and withholds skills that fail its security gate. It also warns to read third-party instructions before following them. It still doesn't say what auth/permissions or rate limits apply, 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core action, then moves to pagination and safety guidance. The sentences each carry information, though the security-gate and scanner-audit clause is somewhat elaboration-heavy and pushes the definition longer than strictly needed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-parameter load tool with no output schema, the description covers the workflow entry point, multi-file/pagination escape hatches, the security-gate filtering, and the temporary non-installing nature of loading. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents every parameter including the file/request_id relationship and page. The description restates the file+request_id and page usage rather than adding new syntax or constraints, matching the baseline for a fully documented schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Load') and resource ('a selected skill returned by find_skill'), and explicitly ties itself to the sibling that produces the input. An agent can distinguish use_skill from find_skill/scan_skill/rate_skill without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Makes the workflow explicit: load a skill that find_skill returned, and gives follow-on conditions for oversized results ('pass file and the original request_id', 'pass page for more content'). It never states when not to use it or names explicit alternatives, so it stops 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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 8 tool updates
    • First observedfeedback
    • First observedfind_skill
    • First observedforget_my_data
    • First observedmy_activity
    • First observedrate_skill
    • First observedreport_issue
    • First observedscan_skill
    • First observeduse_skill

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to autonomously search, evaluate, and install skills from the skills.sh catalog.
    4
    6 npm
    ISC
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables LLMs to dynamically discover and execute tools through a structured skills system. Serves as a documentation hub where skills are defined in directories, allowing progressive loading and interpretation of capabilities.
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources