PropelAuth Integration MCP Server

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

Annotations already declare readOnlyHint=true and idempotentHint=true, aligning with 'Returns instructions'. The description adds context about the content of instructions (installation, protecting routes, org membership), enhancing behavioral transparency beyond 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?

Three sentences, front-loaded with purpose, content list, and usage caution. No wasted words or redundancy.

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

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

Given the tool's simple retrieval nature, description covers purpose, parameter hints, and usage note. Output schema exists to detail return format, so description is complete enough for agent decision-making.

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 0%, so description must compensate. It mentions backend frameworks and guidance topics, giving examples but not listing all enum values. Partial compensation, but agent still benefits from the described parameter purposes.

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

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

The description clearly states the tool returns instructions for integrating PropelAuth in a backend framework, listing example frameworks. It distinguishes itself from sibling tools like integrate_propelauth_frontend by specifying the backend scope.

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?

Provides a caution to follow instructions carefully and not update guidance unless requested, but lacks explicit comparison to sibling tools like migrate_to_propelauth_backend for when to use integration vs migration.

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, idempotentHint=true, destructiveHint=false, so the tool is safe and non-modifying. The description adds that it returns instructions, which aligns with annotations but does not disclose additional behavioral traits beyond what is already indicated.

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 relatively concise with two main sentences and a closing instruction. It is front-loaded with the primary purpose. The sentence 'It is important to follow the instructions carefully' is somewhat filler but does not detract significantly.

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 simplicity (read-only, returns instructions), the description provides enough context: what it does, when to use, parameter guidance, and differentiation from siblings. An output schema exists, so return value details are not necessary.

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 0%, so the description must compensate. It explains that 'guidance' covers installation, configuration, access tokens, etc., providing context beyond the enum list. However, it incorrectly includes 'TypeScript' as an example frontend_framework while schema only allows 'Javascript' and 'React', slightly reducing clarity.

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

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

The description clearly states it returns instructions for integrating PropelAuth in frontend frameworks, using specific verb 'Returns instructions' and resource 'integration instructions'. It distinguishes from the sibling tool 'integrate_propelauth_fullstack' by specifying when to use each (client-side vs fullstack with SSR).

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 explicitly tells when to use this tool (client-side rendering) and when to use the alternative fullstack tool. It also advises not to update the guidance argument unless the user explicitly requests it, providing clear usage context.

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 (readOnlyHint, idempotentHint, destructiveHint) already indicate safe, non-destructive, idempotent behavior. Description adds that it returns instructions and includes a usage constraint, consistent with annotations. No contradiction.

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, each adding value: purpose, alternative usage, and a constraint. Front-loaded with the key action. No unnecessary words.

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 output schema exists, the description covers the tool's purpose, parameters, and behavioral constraints. It provides enough context for an AI to select and invoke 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?

Schema has 0% description coverage, so description must compensate. It mentions that guidance includes various aspects like installation, configuration, user info, etc., which adds context beyond the enum list. However, it does not explicitly describe the fullstack_framework parameter beyond naming the two frameworks in the purpose statement. Adequate but could be more explicit.

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

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

The description clearly states the tool returns instructions for integrating PropelAuth in fullstack Next.js App Router or Pages Router applications. It distinguishes from the sibling integrate_propelauth_frontend by specifying when to use the alternative.

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 tells when to use this tool vs. integrate_propelauth_frontend (if Next.js is just a frontend). Also includes a behavioral rule: 'Do not update the guidance argument unless the user explicitly requests it.'

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 indicate readOnly, idempotent, and non-destructive. The description adds critical behavioral detail: the sequential dependency between guidance items and the warning not to fetch all at once, which is not captured by 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 front-loaded with the important warning, followed by purpose and usage conditions. While it is a bit verbose, every sentence adds value and the structure facilitates quick comprehension.

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 description sufficiently covers tool purpose, usage context, and sequential behavior. Since an output schema exists, the lack of return value explanation is acceptable. Minor gap: no explicit mention of what happens if guidance is null (default), but it is implied.

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

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

The input schema has a single parameter 'guidance' with enum values but no descriptions (0% schema coverage). The description compensates by listing example guidance items and emphasizing sequential fetching, adding meaning beyond the enum labels.

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

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

The description clearly states the tool returns instructions for integrating PropelAuth via OAuth, and explicitly distinguishes it from SDK-based tools: 'Only use this tool when... a PropelAuth SDK does not exist for the project's framework.' This differentiates it from sibling tools like integrate_propelauth_backend.

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?

Provides explicit when-to-use and when-not-to-use guidance: 'Only use this tool when specifically instructed to by another tool or the user or if a PropelAuth SDK does not exist.' Also gives sequential fetching instruction: 'Do NOT fetch all guidances at once. Fetch the Backend Installation guidance first...'

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 indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the tool is safe and non-modifying. The description adds context that it returns instructions and includes documentation, confirming the read-only nature without contradiction.

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 starts with the core purpose and includes critical selection criteria in an important note. However, it contains some redundancy (e.g., repeating 'It is important to follow the instructions carefully'), making it slightly less concise than ideal.

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 presence of an output schema, the description adequately covers the tool's purpose and key decision logic. It does not fully explain the default behavior (all parameters null) or individual guidance options, but the output schema likely fills those gaps.

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 0%, but the description adds significant semantics for the backend_framework parameter, explaining the OAuth vs framework decision. However, it does not describe the guidance or migrating_from parameter values in detail, so compensation is partial.

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

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

The description clearly states that the tool returns instructions for migrating to PropelAuth in a backend framework, with specific guidance categories and migration sources (Clerk or Auth0). This distinguishes it from sibling tools like frontend or fullstack migrations.

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 provides explicit guidance on when to choose 'OAuth' vs other backend_framework options based on the current auth provider implementation. However, it does not directly compare against sibling tools like integrate_propelauth_backend, leaving the choice between integration and migration slightly implicit.

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 idempotentHint=true. The description reinforces that the tool returns instructions without side effects, adding context about following instructions carefully. No contradictions.

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 well-structured with a clear purpose, instructions, and a critical note. Slightly verbose in repeating 'It is important', but overall front-loaded and efficient.

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 purpose and the presence of an output schema, the description covers all necessary context: what it does, how to use it, and important caveats. It fully supports correct tool selection and 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 0%, so the description must compensate. It explains the 'frontend_framework' parameter's critical distinction (OAuth vs React/Javascript) and mentions the 'guidance' and 'migrating_from' parameters implicitly, but does not explicitly describe all possible values or their exact meaning. Adequate but not exhaustive.

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

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

The description clearly states it returns instructions for migrating to PropelAuth in frontend frameworks, explicitly naming React, JavaScript, TypeScript, and Next.js frontend. It distinguishes itself from sibling tools by targeting frontend migration specifically.

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?

Provides explicit instructions: use 'Installation' first, call every guidance, don't update components until receiving guidance, and a critical note on framework selection when dealing with OAuth vs frontend SDKs. This helps an agent decide when and how to invoke the tool correctly.

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 indicate readOnlyHint=true and destructiveHint=false; description adds that it returns instructions and emphasizes the importance of sequential guidance execution, though no additional safety or side-effect details are needed.

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?

Description is concise but includes a slightly repetitive instruction about not updating components; overall structure is clear with front-loaded key information.

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 an output schema present, the description adequately covers purpose, usage, and sequence; however, it does not detail the migrating_from or fullstack_framework parameters, which are self-explanatory defaults.

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 0% and description only mentions the 'Installation' guidance value; other enum values are not explained, leaving the agent to infer their meaning from the names alone.

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

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

The description clearly states it returns instructions for migrating to PropelAuth in a fullstack Next.js App Router or Pages Router application, and explicitly distinguishes from the frontend-only migration 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?

Provides explicit when-to-use guidance (fullstack vs frontend), recommends starting with 'Installation' guidance, and advises calling every guidance step and not updating components prematurely.

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 indicate readOnlyHint=true and destructiveHint=false. The description adds that it returns instructions, confirming safe, non-destructive behavior, but does not disclose additional traits like rate limits or authentication needs.

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 one concise sentence that front-loads the key purpose. It is efficient but could be slightly improved by adding parameter details without becoming verbose.

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

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

For a simple, read-only tool with one parameter and an output schema, the description adequately covers the scope and what to expect. It mentions including documentation from both providers, which adds completeness.

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 0%. The description only mentions 'such as Clerk' but does not explicitly describe the migrating_from parameter or its enum values (Clerk, Auth0, null). The parameter semantics are insufficiently explained.

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

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

The description clearly states the tool returns instructions for migrating users and organizations to PropelAuth from other auth providers, such as Clerk. This distinguishes it from sibling tools like migrate_to_propelauth_backend which focus on specific aspects.

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 for migrating from Clerk or Auth0 but does not explicitly state when to use this tool versus alternatives like migrate_to_propelauth_backend. No when-not or exclusion criteria are provided.

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 indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description confirms this by stating 'Returns instructions and provides examples,' which aligns with a read-only reference tool. It adds value beyond annotations by detailing the content categories (users, orgs, etc.) and the prerequisite of prior integration, but does not reveal additional behavioral traits like rate limits or authentication needs (which may not be relevant).

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 four sentences, each serving a clear purpose: purpose statement, content examples, prerequisite instructions, and fallback guidance. It is front-loaded with the primary function and contains no redundant or filler words, earning 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?

Given the tool's complexity as a documentation reference with many optional parameters and an output schema, the description covers the essential aspects: purpose, examples, prerequisites, and fallback for framework. It does not elaborate on the output schema, but that is acceptable since an output schema exists. One could argue it misses details on how results are returned (e.g., code snippets vs text), but overall it is sufficiently 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 0%, so the description must compensate. It partially does by listing example API categories (users, orgs, SSO, etc.), which gives context for the 'guidance' parameter. For 'framework', it explains the 'Other' option and suggests selecting from the list. However, it does not describe each individual enum value, and many guidance values are only implicitly covered. The description adds some meaning but is insufficient for low schema 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 clearly states 'Returns instructions and provides examples for using PropelAuth's backend APIs,' specifying the verb (returns), resource (instructions/examples for backend APIs), and scope (users, organizations, SSO, API Keys, MFA). It distinguishes itself from sibling tools like integration and migration tools by focusing on API documentation and examples.

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 provides a clear prerequisite: use 'integrate_propelauth_backend' to install the SDK before using this tool. It also advises to use the 'Other' framework option if an SDK is unavailable. However, it does not explicitly contrast with other tools like 'propelauth_troubleshooting' or provide when-not-to-use scenarios.

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, idempotentHint=true, destructiveHint=false, indicating a safe, non-mutating tool. The description adds details about the scope (many examples) but does not disclose any additional behavioral traits beyond what annotations imply.

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 comprehensive but somewhat verbose with a long list of examples. It could be more concise by grouping examples or trimming redundancy. However, it is well-structured, starting with the purpose and then providing examples and usage notes.

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 returns instructions and examples, the description covers many scenarios (login, MFA, org management, etc.) and tells the agent to use specific guidance first. With an output schema presumably defining the response format, the description is fairly complete for understanding what the tool provides.

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 0%, yet the description does not directly explain the 'guidance' and 'framework' parameters. While the examples list corresponds to many 'guidance' enum values, the description does not define them or clarify their usage, leaving interpretation to the agent.

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

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

The description clearly states the tool returns instructions and examples for creating custom UIs using PropelAuth's frontend APIs to replace hosted pages. It lists numerous specific examples (login, MFA, org management, etc.), making its purpose distinct from sibling tools which are about backend integration, migration, etc.

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 provides explicit guidance to first use 'Installation' and for login/signup UIs use 'LOGIN_AND_SIGNUP_INSTALLATION'. This gives clear when-to-use context but does not explicitly contrast with siblings or state when not to use this tool.

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?

No annotations are provided, so the description carries full burden. It describes the tool as returning instructions/guidance, which suggests a non-destructive, read-only operation. However, it does not explicitly confirm no side effects or disclose any behavioral traits beyond the vague 'returns instructions'. The description is adequate but not detailed.

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 sentence with a bulleted list of examples, all front-loaded. No wasted words; every part adds 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?

The tool is low complexity with one optional parameter and an output schema (not shown). The description covers the purpose and examples but does not mention the output format or behavior for 'null' input. It is adequate but not 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?

Schema description coverage is 0%, so the description must compensate. It lists example topics but does not explicitly describe the 'guidance' parameter's format or behavior when null. The enum values in the schema are not tied back to the description, leaving interpretation to the agent. Insufficient for a single parameter.

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

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

The description clearly states the tool returns instructions and guidance for common troubleshooting issues. It lists specific examples like infinite redirects, CORS issues, and tokens expiring. This distinguishes it from sibling tools focused on integration, migration, or API operations.

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 encountering the listed issues but does not explicitly state when to use this tool versus alternatives or provide any exclusions. It lacks guidance on prerequisites or context for when to invoke.

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