allmcps-server

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does mention the output (checkout URL and invoice), which is useful, but it does not disclose side effects such as whether the order is immediately charged, whether it modifies the server's listing, or any prerequisite state. This is a minor gap, making it adequate but not comprehensive.

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, well-structured sentence that front-loads the action and resource, then specifies the return values. It contains zero redundant words and is easy to scan.

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 has no output schema and only three parameters (fully documented in the schema), the description provides enough to understand the core behavior and return type. However, it lacks details about the ordering flow and potential failure modes, which would be useful for a transaction-like operation. Still, for a simple initiate-order tool, it is largely 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?

Schema description coverage is 100% (all three parameters have descriptions). The description adds no additional meaning beyond restating 'by ID', which is already in the schema. Per the guidelines, with full schema coverage, a baseline of 3 is warranted.

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 'Initiate' and clearly states the resource ('sponsorship / boost order for an MCP server by ID') and the return value ('Stripe checkout session URL and x402 invoice'). This distinguishes it from sibling tools like get_boost_pricing and get_boost_status, which are query-only.

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: to start a boost order for a given server ID. However, it does not explicitly mention alternatives or exclusions (e.g., 'for pricing, see get_boost_pricing'). Since the context is unambiguous, a 4 is appropriate.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the useful detail that results include install commands, evidence, health, GitHub stars, last commit and quality score, but says nothing about behavior with invalid or unregistered IDs, partial data, or result ordering.

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 leads with the action and cardinality, then lists the compared attributes. No filler, no 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?

With no output schema, the enumerated field list usefully tells the agent what it will receive. What is missing is how to obtain valid server IDs and what happens on partial or unknown inputs, which matters because ids are required.

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

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

Schema description coverage is 100% and the single parameter 'ids' is documented there, including minItems 2 and maxItems 4. The description's '2 to 4 MCP servers' merely restates that constraint rather than adding format or sourcing guidance, so the baseline 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?

States a specific verb (compare) and resource (MCP servers) with an explicit cardinality constraint of 2 to 4, and enumerates the dimensions compared. It does not, however, explicitly differentiate itself from sibling get_mcp_alternatives, which an agent might reasonably confuse with a comparison 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?

There is no statement of when to reach for this tool versus get_mcp_alternatives, recommend_mcp_stack, or search_mcp_servers, nor any prerequisite about where valid server IDs come from. Usage is only weakly implied by the name and the field list.

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

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

With no annotations, the description carries the full burden and does well: it discloses that this is a credential exchange, that the resulting token is durable with a 90-day TTL, and how the token is meant to be presented. It omits failure modes (invalid/expired/single-use code) and any rate-limit or re-issue behavior, 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.

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

Two sentences, zero waste, and the core operation plus TTL are front-loaded before the follow-up usage instructions. Every 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 two-parameter auth-exchange tool with no output schema and no annotations, the description covers the essential loop: what is consumed, what is produced, and how to use the produced token. It could say more about error handling or code lifetime, but nothing required to invoke it correctly 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%, so both `email` and `code` are already documented as such. The description adds only the provenance link ('the 6-digit code emailed by register_mcp_agent'), which marginally enriches the `code` parameter but does not add format or validation detail beyond the schema. Baseline 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?

States a specific verb+resource: exchanging a 6-digit emailed code for a durable bearer token, including the 90-day TTL. It also names the sibling that produces the code (register_mcp_agent) and the sibling that consumes the token (verify_mcp_claim), so an agent can place this step precisely in the auth flow.

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 tells the agent exactly what to do with the result: pass the token as `agentToken` on verify_mcp_claim or as an `Authorization: Bearer` header. The implicit prerequisite (call after register_mcp_agent and receiving the emailed code) is clear from the wording, but there are no explicit when-not conditions or notes on code expiry/reuse.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the bar is lower. The description adds only that the payload covers both pricing and features for the boost/feature listing; it says nothing about rate limits, auth requirements, or whether pricing varies by tier or region.

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

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

A single front-loaded sentence with no filler; the resource and scope appear immediately and every word earns its place.

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

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

For a zero-parameter, read-only lookup with no output schema and annotations covering safety, the description is nearly complete: an agent knows what it gets back conceptually (pricing and features). Only minor gaps remain, such as currency, pricing dimensions, or the shape of the response.

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

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

The tool takes zero parameters, so there is no parameter semantics for the description to carry and the baseline is 4. The description correctly implies a parameterless global pricing lookup.

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

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

States a specific verb (Get) and resource (pricing and features for boosting/featuring an MCP server) plus the domain (AllMCPs.com), so an agent knows exactly what it retrieves. It does not explicitly distinguish itself from siblings like boost_mcp_server or get_boost_status, which would have earned a 5.

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 only implied: an agent can infer this is the lookup to call before boost_mcp_server, or alongside get_boost_status, but the description never states when to use it or which sibling handles the actual purchase versus the status check. No exclusions or alternatives are named.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered without the description. The description adds that this is a point-in-time status read including expiration, but says nothing about auth requirements, caching, or whether an unboosted server returns an error or a null state.

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 sentence that front-loads the verb and enumerates the returned fields with zero filler. Nothing could be removed without losing meaning.

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

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

With no output schema, the description usefully enumerates the three pieces of information returned (status, badge level, expiration), which is the key gap it needed to fill. It stops short of describing the error/absent-boost case, but is otherwise adequate for a one-parameter read tool.

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 'id' parameter, so the schema fully documents it. The phrase 'by ID' in the description adds no syntax or format detail beyond what the schema already provides, making this a baseline 3.

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

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

States a specific verb (Check) and a bounded resource set (boost status, verified badge level, sponsorship expiration) scoped to an MCP server by ID. This clearly separates it from the mutating sibling boost_mcp_server, though it never names or contrasts with that sibling explicitly.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as boost_mcp_server (to purchase a boost) or get_boost_pricing (to price one). The read-only verb implies a pre/post-boost check, but the agent must infer that entirely.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds a genuine behavioral detail — results are constrained to the same category and ordered by fit plus evidence — but says nothing about pagination or result shape for a list tool.

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 sentence that front-loads the core action and packs the ranking/scope qualifiers without a wasted clause.

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 read-only list tool with no output schema, the description conveys what comes back (same-category alternatives ranked by fit and evidence). Minor gaps remain around result count defaults and what 'evidence' concretely means, but nothing blocks correct invocation.

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 both 'id' and 'limit' are documented in the schema itself. The description only echoes the id concept ('to a given server ID') and adds no format, ID-source, or limit-interaction detail 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?

States a specific verb (List) and resource (alternative MCP servers) plus the scope constraint 'to a given server ID — same category, ranked by fit'. This implicitly separates it from siblings like search_mcp_servers and compare_mcp_servers, though it never names them explicitly.

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 phrase 'to a given server ID' implies the use case (finding replacements for a known server), but there is no explicit when-to-use/when-not or named alternative such as recommend_mcp_stack or compare_mcp_servers for related needs.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, and the description is consistent with that. It adds genuinely useful context beyond the annotations: the operation returns setups for every major client plus documentation, and the single-client narrowing behavior. No auth, rate-limit, or error-shape detail, but that is a minor gap for a read-only lookup.

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 sentences with the main action front-loaded and the modifier stated last. The 13-name client list is somewhat enumerative padding that duplicates the schema enum, costing a point but not much readability.

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 read-only, two-parameter tool with no output schema, the description covers what is returned (per-client configs and docs) and how to narrow it, which is the information an agent needs. It omits return format details (e.g., config snippets vs. links), but nothing essential 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%, so both `id` and `client` are already documented, and the long client enumeration largely repeats the enum values. The one real addition is the implied default ('Pass `client` for just one' means all clients are returned otherwise), which earns the baseline 3 rather than more.

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

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

States a specific verb ('Get setup') and resource ('one MCP server by ID') and enumerates exactly what is returned: per-client install configs plus documentation. The resource is clearly distinct from siblings like get_mcp_alternatives, compare_mcp_servers, and recommend_mcp_stack, so an agent can route without opening the schema.

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 context of use is clear (fetch install configuration for a specific server) and the optional narrowing path is stated: 'Pass `client` for just one.' It does not name alternatives or state when not to use it, so it falls short of explicit when/when-not routing.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safe-read profile is covered. The description adds that results include server counts, which is useful context about the return payload, but says nothing about ordering, caching, or whether the list is exhaustive.

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

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

A single front-loaded sentence with no filler; every clause earns its place by naming the resource, its scope, and the payload.

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 parameterless list tool with no output schema, the description adequately signals what comes back (categories plus server counts). It could say more about ordering or result size, but nothing essential to invoking it is missing.

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

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

The tool takes zero parameters, so the baseline is 4. There is nothing for the description to disambiguate at the parameter level.

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

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

States a specific verb (List) and resource (categories) scoped to the AllMCPs directory, and notes the returned data (server counts). This clearly distinguishes it from siblings like search_mcp_servers or get_mcp_alternatives, though it doesn't explicitly contrast with them.

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 a browsing/discovery use case but never states when to reach for this tool versus search_mcp_servers or recommend_mcp_stack. No alternatives or exclusions are named, leaving usage to inference.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds one useful behavioral fact beyond that: results are 'drawn from a live directory search', implying dynamic content. It does not characterize how many servers are returned or how the stack is composed, so it stays at a solid 3 given annotation coverage.

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 names the action, the output, the input, and parenthetical examples. Every clause earns its place 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?

There is no output schema, but the description conveys what comes back ('a small stack of complementary MCP servers') and where it comes from, which is adequate for an agent to call it. It could go slightly further on the shape of the recommendation, but nothing essential 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 the single 'role' parameter, so the schema already carries the load and a 3 is the baseline. The description adds workflow-level examples ('fullstack web app', 'devops on AWS') that are slightly richer than the schema's short enum-like hints, but no syntax or format guidance beyond that.

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 (recommend), a specific resource (a small stack of complementary MCP servers), the input dimension (role or workflow), and examples. It is clearly distinguishable from siblings like search_mcp_servers (raw search) and compare_mcp_servers (comparison), since it produces a curated complementary set.

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 phrase 'for a role or workflow' with concrete examples implies the intended use case, which is enough to know when to reach for it. However, it names no alternatives (e.g. search_mcp_servers for raw lookups) and states no when-not conditions, leaving routing to inference.

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

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

With no annotations provided, the description carries the full burden and discloses key behavior: an email is sent, the code is 6 digits, the code is exchanged for a bearer token, and the token unlocks privileged tools without browser sign-in. It omits details such as code expiration, rate limits, or delivery failure handling.

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 front-loaded: it starts with the action and effect, then names the required follow-up tool. Every clause contributes to understanding the flow or downstream value.

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 registration-start tool with no output schema, the description explains the immediate effect, the required next step, and the eventual benefit. It does not describe the response body or edge cases, but it is sufficient for correct invocation in 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 schema already documents email, scopes, and agentName thoroughly. The description only refers to the given address and does not add meaning beyond what the schema provides.

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 action and resource: starting unattended-agent registration and sending a confirmation code. It also names the immediate follow-up tool, confirm_mcp_agent, and the downstream capability it unlocks, verify_mcp_claim, making it easy to distinguish from siblings.

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?

It clearly says this is the start of the registration flow and instructs the agent to follow up with confirm_mcp_agent. It does not explicitly describe when not to use it or what happens if the email is already registered, but the intended context is clear.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safe, closed-directory nature is covered structurally. The description adds only the basic keyword/category framing and no further behavioral context (no result ordering, no rate limits, no empty-result behavior), so with annotations present this is a baseline 3.

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

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

A single front-loaded sentence with zero waste — purpose and scope are stated first. It is appropriately sized, though its brevity leaves room it could have used for routing guidance.

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 low-complexity, zero-required-param read-only search whose schema is fully self-documenting, the description is sufficient for an agent to select and call it. The absence of an output schema means return-shape details are unstated, which is a minor gap but not blocking.

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 all five parameters (limit, query, category, transport, verified_only) are fully documented in the schema. The description's 'by keyword or category' merely restates query/category and adds no syntax or format detail beyond the schema, so the baseline 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?

States a specific verb (Search), resource (AllMCPs directory / MCP servers), and scope (by keyword or category). It's immediately clear what the tool does, though it doesn't explicitly differentiate itself from adjacent siblings like list_mcp_categories or get_mcp_alternatives.

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 only implied — the agent infers you call this when looking for servers. There is no explicit when-to-use/when-not guidance, and no mention of alternatives such as list_mcp_categories for pure browsing, even though the schema references that tool for category values.

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

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

With no annotations, the description carries the full burden, and it delivers real behavioral traits beyond the schema: submissions enter an 'indexing and review' process (not instantly live), enrichment is optional, and unrecognized enum values are 'dropped, not rejected' rather than erroring. Missing are details on duplicate-submission handling, auth/rate-limit behavior, and what the submitter receives after posting.

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?

Three sentences, purpose front-loaded, no wasted framing. Minor redundancy: 'all enrichment fields are optional' restates the earlier 'Supports the same optional enrichment fields,' so a small trim is possible.

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 16-parameter mutation-style tool with no annotations and no output schema, the description adequately covers intent, the optional-enrichment philosophy, and enum-drop behavior. It stops short of explaining the post-submission lifecycle (review outcome, confirmation), which an agent submitting programmatically would plausibly want.

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 already documents all 16 parameters, making a 3 the correct baseline. The description frames the optional fields as 'enrichment fields' mirroring the human form and names likely sources (README, package.json, code), but adds no field-level format or enum detail beyond what the schema provides.

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

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

States a specific verb (submit), resource (new MCP server repository), destination (AllMCPs.com), and outcome (indexing and review). It is clearly the only submission-style tool among siblings like search_mcp_servers, boost_mcp_server, and register_mcp_agent, so an agent can distinguish it immediately.

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?

It gives solid guidance on how to fill inputs ('fill in whichever you can confidently determine... Omit anything you are not confident about'), which is useful, but it never states when to choose this tool over siblings or what prerequisite conditions apply (e.g., whether the server must already be published to GitHub). Usage context is implied by the purpose rather than spelled out.

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

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

With no annotations, the description carries the full behavioral load and does well: it discloses the auth requirement per path, the header alternative, and the fallback condition when no token is supplied. It stops short of disclosing outcomes, failure modes, whether a claim is one-time/idempotent, or rate limits, which are relevant for a privileged claim operation.

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?

Front-loaded with the core operation, then clearly enumerated (1)/(2) for the two auth modes. Slightly dense and longer than minimal, but every clause carries information about paths, prerequisites, or auth, so little is wasted.

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 no annotations and no output schema, the description supplies the safety/auth context an agent needs to call it correctly. What remains unstated is the success/failure behavior and the claim's effect on the listing — useful but not blocking for invocation.

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 per-parameter baseline is 3, but the description adds cross-parameter semantics the schema cannot express: the interaction between agentToken and browser session, and the prerequisite tool that produces agentToken. It adds context on top of, rather than merely repeating, the field docs.

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?

Specific verb+resource: 'Verify ownership and claim an MCP server listing,' with the three concrete verification mechanisms (GitHub README badge, website badge, DNS TXT record) spelled out. No sibling does claiming/verification, and the description ties itself to the register/confirm chain, so an agent can place it precisely in the toolset.

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?

Explicitly lays out the two invocation paths — unattended via agentToken/Bearer header, versus requiring an existing browser session when neither is passed — and names the condition selecting each. It also states the prerequisite ordering ('use register_mcp_agent + confirm_mcp_agent first'), 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.