Numerology MCP Server by RoxyAPI

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

No annotations are provided, so the description carries the burden. It discloses that the tool returns a symbolic title, nature (fortunate/unfortunate/mixed), and full interpretation, and that numbers 33-52 share meanings with lower numbers via a sameAs pointer. This gives sufficient behavioral insight despite lacking explicit read-only or permission statements.

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 concise (two sentences plus additional contextual sentences) and front-loads the core purpose. It avoids unnecessary filler, but could be slightly shorter by merging the last sentence about perfect usage.

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?

Despite no output schema, the description adequately explains the return value structure (title, nature, interpretation, sameAs for 33-52). It also provides cultural context (Cheiro, Book of Numbers). For a simple read tool with low parameter count, this 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 100%, but the description adds valuable context: it explains that compound numbers are from Cheiro's Book of Numbers, and that numbers 33-52 have sameAs pointers. This enhances understanding beyond the schema's basic parameter descriptions.

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 identifies the tool's purpose: getting classical Chaldean interpretations of compound numbers (10-52). It distinguishes from siblings by explaining that compound numbers are two-digit unreduced numbers beyond single-digit roots, contrasting with tools like get_numerology_meanings_number.

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 states it is 'perfect for Chaldean numerology references, compound number lookups, and AI numerology tools,' implying appropriate usage. It contrasts compound numbers with single-digit roots, suggesting when not to use it, but does not explicitly name alternative sibling tools.

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 the full burden. It discloses the return format (comprehensive description with archetype title, keywords, traits, etc.), the word count (300-500), and the treatment of master numbers. This sufficiently informs the agent about the tool's behavior without 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 a single paragraph of around 100 words, front-loading the main purpose and then enumerating details. It is well-structured and efficient without being overly 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?

Given the tool's simplicity (2 parameters, no output schema), the description is highly complete. It explains what the tool returns in detail, addresses master numbers, and mentions language support. No gaps are apparent.

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%, baseline 3. The description adds meaning by listing the included components (archetype title, keywords, personality traits, etc.) and clarifying the language fallback ('Languages without translations yet return English'). This goes beyond the schema's pattern and enum constraints.

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

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

The description clearly states the tool gets the complete meaning and interpretation for numerology numbers 1-9, 11, 22, 33 using Pythagorean numerology. It details the return content and explicitly differentiates from sibling tools that likely compute other numerology aspects (e.g., life path, expression).

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 specifies ideal use cases: 'Perfect for numerology reference tools, educational apps, quick lookups, and building custom numerology calculators.' It does not explicitly mention when not to use or compare with siblings, but the context makes it clear this is for single number lookups.

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 provided, so description carries full burden. Describes key behaviors: calculates using Pythagorean numerology, automatically detects Master Numbers, reduces double-digit days, returns 300-500 word meanings. 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?

Description is concise given the amount of information. Front-loaded with purpose, then details. Could be slightly trimmed, but every sentence adds 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?

Given no output schema, description explains what the tool returns (comprehensive interpretation, 300-500 word meanings). Covers input constraints and language options. Lacks error handling details but overall sufficient.

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 100% coverage, but description adds value by explaining processing logic (Master Number detection and reduction) and the range for day. Provides language details beyond schema defaults.

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?

Clear verb 'Calculate' and specific resource 'Birth Day number'. Description explains what it does and the output (interpretation of talents). Distinguishes from sibling tools by focusing on birth day and talents.

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?

Mentions use cases (talent discovery, career counseling, personal development) but does not explicitly state when not to use or list alternative tools. Still provides clear context for appropriate usage.

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 provided, so the description carries full burden. It explains that core numbers are internally calculated, and interprets bridge values (0 alignment, 1-8 tension). This covers the main behavioral aspects for a calculation 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?

The description is front-loaded with the main purpose and includes necessary details in subsequent sentences. It is slightly verbose but every sentence adds value. Could be trimmed slightly without loss.

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 explains inputs and logic well, but lacks information about the output format or an example response. Since there is no output schema, this gap makes the tool less complete for AI agents.

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% with detailed descriptions for all parameters. The description adds little beyond the schema, as the schema already explains purpose and constraints. Baseline score 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?

The description clearly states it calculates three Bridge Numbers, explains what they are, and how they are derived from core numbers. It distinguishes itself from other numerology tools by focusing on harmony between 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 lists explicit use cases (personal development, coaching, etc.) and prerequisites (requires full birth name and birth date). It does not explicitly mention when not to use or compare to siblings, but the 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?

With no annotations, the description carries full burden. It discloses the numerology system (Chaldean), favorable roots, cautionary numbers, and limitations ('not a guarantee'). Provides sufficient behavioral context for an AI agent to understand what the tool does and its interpretive nature.

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 well-structured sentences plus a clarifying note. Every sentence adds value: purpose, outputs, usage guidance, and limitation. No wasted words, front-loaded with purpose.

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?

No output schema, but description lists key return elements (name number, root, planetary ruler, rating, industries, fortunate compounds). Missing explicit output format structure, but the list is adequate for a non-developer context. Reasonably complete for the tool's complexity.

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 baseline is 3. The description adds minimal extra meaning beyond schema: it reiterates 'name' as business name and 'lang' as response language, but doesn't provide new detail about parameter values or usage. Acceptable but not exceptional.

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 verb 'Analyze' and resource 'business or brand name with Chaldean numerology,' specifying exact outputs (name number, planetary ruler, rating, industries). It distinguishes itself from sibling tools by focusing on business names, which no other sibling does.

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 says 'Use it to vet a company name, compare brand options, or guide a naming decision.' It also sets expectations by noting it's 'positioning guidance... not a guarantee.' Lacks explicit 'when not to use' or alternatives, but siblings don't compete directly.

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 provided, so the description carries full burden. It explains the Chaldean system (no number 9, compound numbers 10-52), what is returned (Destiny, Soul Urge, Personality with compound and root, planetary ruler, caution flag for karmic numbers), and the tradition for name input. No contradictions, though it lacks statement on read-only nature.

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 fairly concise and front-loaded with the main action. Every sentence adds useful detail, though the 'Perfect for...' sentence could be shortened. Overall efficient for the information provided.

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?

No output schema exists, so the description must explain returns. It lists all key outputs: Destiny, Soul Urge, Personality with compound number, root, Cheiro interpretation, planetary ruler, caution flag. This covers the tool's functionality well, though error handling is not mentioned.

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%, but the description adds value by explaining the Chaldean tradition for the name parameter (use most known name) and that unsupported languages return English. This goes beyond the schema's basic descriptions.

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 calculates a complete Chaldean numerology reading for a name, detailing the system, outputs, and usage context. It distinguishes itself from siblings by focusing on the Chaldean system and providing both compound and root layers.

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 Chaldean numerology calculators and name analysis tools but does not explicitly contrast with alternatives or state when not to use it. No exclusions or when-not guidance is 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?

Describes output components (interpretations, karmic analysis, yearly forecast, holistic summary) and the comprehensive nature of the tool. No annotations exist, so description adequately covers behavior, though it could mention that it's a read-only generation with no side effects.

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 somewhat verbose with repetitive statements about saving API calls and being ideal for apps. Could be more concise.

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?

No output schema, so description must explain return structure. Mentions return types (interpretations, analysis, summary) but lacks detailed structure or field listing, which would be helpful for a complex chart 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 covers all parameters with descriptions, so baseline is 3. Description adds little beyond 'full birth name' context; mostly redundant with 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?

Clearly states it generates a comprehensive numerology chart combining all major calculations (Life Path, Expression, etc.). Distinguishes from sibling tools that offer individual calculations.

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 recommends use for full readings and saving multiple API calls, implying it should be used when a complete chart is needed rather than individual components. Lacks explicit exclusion of specific 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?

No annotations are provided, so the description fully shoulders the burden. It openly discloses input modes, calculation methodology (Pythagorean numerology), output composition (score, aspects, strengths, challenges), and use cases. No contradictions or omitted behavioral traits.

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 well-structured, starting with the main purpose, then input modes, output details, and use cases. It is slightly verbose but each sentence adds context; only minor redundancy could be trimmed.

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 (nested objects, no output schema), the description thoroughly covers input options, output breakdown (score, aspects, weights), and practical applications. An agent has sufficient information to invoke the tool correctly.

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

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

Schema coverage is 33%, but the description adds significant value beyond schema by explaining the two input modes (pre-calculated vs. raw) and how to mix them across persons. It clarifies parameter relationships (e.g., provide day/month/year instead of lifePath).

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?

Description clearly states verb 'Calculate numerology compatibility between two people using Pythagorean numerology', specifying both the action and resource. It distinguishes from sibling tools like 'post_numerology_life_path' which focus on single-person calculations.

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?

Description explains when to use (dating apps, relationship counseling) and highlights flexibility of mixing input modes. However, it does not explicitly state when not to use or provide direct comparisons to sibling tools, leaving some implicit guidance.

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?

Discloses the seeded randomness mechanism, ensuring reproducibility. Describes the return content in detail. Since no annotations exist, the description adequately covers behavioral traits.

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 concise paragraph that front-loads the core function, then efficiently explains the seeding mechanism, return content, and use cases. No redundant sentences.

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 explains the output includes full interpretation with specific sections. Given no output schema, this is adequate. It also covers the deterministic randomness and use cases. Missing details on error handling are acceptable for this simple 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 coverage is 100%, but the description adds meaningful context: explains the date parameter for past/future readings, the lang parameter's fallback behavior, and the seed parameter's purpose for reproducibility. This goes beyond the schema descriptions.

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 receives a daily numerology number (1-9, 11, 22, 33) for guidance. The phrase 'Number of the Day' and mention of daily features distinguish it from sibling tools that focus on specific life path or expression numbers.

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 states it's ideal for daily push notifications, morning briefings, and personalized experiences. However, it doesn't explicitly contrast with sibling tools or specify when not to use it, leaving some ambiguity.

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 full burden. It explains the tool computes and returns results for both systems, including an agreement flag. It does not mention authentication, rate limits, or side effects, which are likely irrelevant for this read-only compute tool. Minor gap: no statement about database persistence or external calls.

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 paragraph that front-loads the core purpose. Each sentence adds value, though the paragraph could be shorter by removing some system detail that could be in the schema. Still appropriate for an AI agent needing context.

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?

No output schema exists, so the description must explain return values. It does so by stating 'returns both results with their interpretations, plus an agreement flag.' It also explains the key differences between systems. Missing: exact structure of results or length of interpretations, but sufficient for selection.

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% with clear parameter descriptions. The description adds context about how names are processed in each system (Pythagorean mapping, Chaldean mapping, master numbers, compound numbers) which aids understanding but does not significantly enhance parameter semantics beyond the schema.

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

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

The description clearly states the tool calculates a name number in both Pythagorean and Chaldean systems and compares them. It distinguishes from siblings by explicitly noting it is the only API that returns both systems in a single request.

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 clear context for use ('comparison tools and AI numerology assistants') and implies this tool should be used when both systems are needed simultaneously. However, it does not explicitly state when not to use this tool or list alternative sibling tools for individual systems.

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 provided; description states it returns comprehensive interpretation, detects Master Numbers, and provides 300-500 word meanings, but does not disclose any side effects, auth needs, or rate limits.

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 fairly long with marketing language, though front-loaded with purpose. Could be more concise.

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?

No output schema, but description explains return includes traits, careers, relationships, spirituality, and word count range, which is sufficient for a numerology 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%, so baseline is 3. The description adds minor context (e.g., 'full birth name' includes middle) but mostly repeats schema info.

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 title and description clearly state it calculates the Expression (Destiny) number from full birth name using Pythagorean numerology, which distinguishes it from sibling tools like life_path, soul_urge, 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 lists use cases like name numerology apps and career guidance, but does not explicitly specify when to use this vs. alternatives or when not to use 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?

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It explains the return includes descriptions, challenges, and resolution guidance, but omits traits such as whether the operation is read-only, if authentication is needed, or any side effects. The description adds some context beyond a basic invocation but falls short of full transparency.

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 multiple sentences but efficiently conveys purpose, outputs, and use cases. It front-loads the core function and is not overly verbose. Minor redundancy exists (e.g., mentioning karmic debt meaning twice), but overall it is well-structured.

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 parameter count (5), full schema coverage, and many sibling tools, the description adequately explains the tool's purpose and output scope. However, it does not clarify if all parameters are needed for a complete analysis (e.g., full name required for personality/soul urge) or the reduction process for detecting numbers, leaving minor 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 description coverage is 100%, so the baseline is 3. The description mentions the calculations involved (Life Path, Expression, etc.) which relate to the parameters but does not add new information beyond the schema's existing parameter descriptions (e.g., 'Birth day (checks Life Path)'). No enhancement is provided.

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 checks for Karmic Debt numbers (13, 14, 16, 19) in Life Path, Expression, Soul Urge, or Personality calculations, using Pythagorean numerology. This verb+resource combination is specific and distinguishes it from sibling tools like post_numerology_life_path or post_numerology_expression.

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 lists ideal use cases like spiritual growth apps and past life exploration, providing clear context for when to use the tool. However, it does not explicitly state when not to use it or mention alternative tools, such as other numerology tools that might be more appropriate for single calculations.

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 fully explains the tool's behavior: it computes missing numbers from the birth name and returns a comprehensive analysis with lessons, challenges, and guidance. It discloses the conceptual basis (Pythagorean numerology) and output components, but does not mention any side effects or permissions since it is read-only.

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 purpose but contains redundant marketing phrases ('Perfect for...') and repeats output details ('Get detailed lesson descriptions...' duplicates 'Returns comprehensive analysis'). Shorter, more direct phrasing would improve clarity without losing substance.

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 output schema, the description adequately covers expected output (missing numbers, lessons, challenges, guidance) and input constraints (birth name, max length). It explains the numerology concept sufficiently for an AI agent to understand the tool's domain and purpose, though a structured output example would enhance 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 coverage is 100% with descriptions for both parameters. The description adds meaning by explaining why 'fullName' is used (birth name for missing numbers) and that 'lang' supports multiple languages with fallback. It provides context about karmic lessons that enhances understanding of the parameter's purpose beyond the schema.

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

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

The description clearly states the tool analyzes karmic lessons from the birth name using Pythagorean numerology, specifying the action ('Analyze') and resource ('your birth name'). It distinguishes from siblings by explicitly focusing on missing numbers (1-9 not appearing) as karmic lessons, differentiating it from tools like 'post_numerology_karmic_debt' or 'post_numerology_chart'.

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 analyzing missing numbers in a birth name but provides no explicit guidance on when to use this tool versus siblings (e.g., when to choose this over 'post_numerology_karmic_debt'). It lists generic use cases ('spiritual growth apps') but no conditional logic, when-not, or alternative tool mentions.

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 the full burden. It discloses that Master Numbers (11,22,33) and Karmic Debt numbers (13,14,16,19) are automatically detected, and describes the output as a 300-500 word interpretation covering traits, strengths, challenges, career, relationship, and spiritual insights. However, it does not mention any limitations, side effects, or authorization requirements.

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

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

The description is three sentences, reasonably front-loaded with the core purpose. However, it contains some marketing fluff ('Perfect for...') and could be more succinct. It earns its sentences but has room for tightening.

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 that there is no output schema, the description adequately explains the return value: a comprehensive interpretation of 300-500 words with specific topics. It covers what the tool returns and its significance. The parameter descriptions are clear. Overall, it provides enough context for an AI agent to understand the tool's behavior.

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 4 parameters have descriptions in the input schema). The description adds no additional information about parameters beyond what the schema already provides, such as the lang parameter's default or year's range. Baseline 3 is appropriate.

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

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

The description clearly states the tool calculates the Life Path number from birth date using Pythagorean numerology. It specifies the resource (birth date) and the action (calculate), and emphasizes its significance as the most important number in numerology. This distinguishes it from sibling tools like post_numerology_birth_day or post_numerology_expression.

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 lists ideal use cases: numerology apps, birth chart calculators, life purpose discovery tools, personal development platforms, and astrology services. However, it does not provide explicit guidance on when not to use this tool or how to choose among siblings. The context is clear but lacks exclusions.

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?

Since no annotations are provided, the description carries full burden. It discloses that it returns a 300-500 word interpretation and automatically detects master numbers. It does not mention side effects, auth needs, or any destructive actions, but these are not expected for a calculation 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?

The description is informative but slightly verbose with the list of use cases. It is front-loaded with the main purpose, and every sentence adds value, but could be trimmed for brevity.

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 lack of an output schema, the description adequately explains the return content (life transformation, mature personality, etc.) and covers edge cases like master numbers. It is complete for a non-destructive, calculative 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 coverage is 100%, so the baseline is 3. The description adds context about the two input methods (by date or by existing numbers) but the schema already documents this in the parameter descriptions. The added value is minimal.

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 calculates the Maturity (Realization) number and explains what it reveals. It distinguishes itself from sibling tools by focusing specifically on later-life development and mature self-expression.

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 use cases (life coaching apps, midlife guidance) and mentions when the number manifests (after age 35-40). However, it does not explicitly contrast with alternative tools or state when not to use 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?

With no annotations provided, the description carries full burden. It discloses that the tool returns a daily theme, actionable guidance, and parent month and year context. For a calculation tool, this is reasonably transparent, though it could mention data privacy or error handling more explicitly.

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 paragraph that efficiently front-loads the core purpose, then elaborates on uniqueness, return values, and use cases. It is not verbose but could be slightly improved with structured formatting (e.g., bullet points).

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 output schema, the description adequately explains return values (theme, guidance, parent context). With 4 parameters and 100% schema coverage, it covers the essential information, though it might omit handling of invalid inputs or edge cases.

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 baseline is 3. The description adds value by explaining the meaning of each parameter (birth month/day, target date defaults to today UTC, language options) and providing examples, exceeding the schema's description.

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 calculates the Personal Day number from birth month, day, and target date, emphasizing that it is personalized and the most granular cycle in Pythagorean numerology. It distinguishes from generic daily numbers and lists specific use cases, effectively communicating the tool's purpose.

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 context for when to use the tool (daily push notifications, morning briefings, etc.) and explains its granularity relative to parent cycles. However, it lacks explicit guidance on when not to use it or alternatives among sibling tools like 'post_numerology_daily' or 'post_numerology_personal_month'.

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?

The description discloses that it returns comprehensive interpretations and automatically detects Master Numbers, but does not disclose any potential side effects, rate limits, or handling of invalid inputs. Since no annotations are provided, the description carries the full burden; it is adequate but not 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?

The description is relatively verbose but each sentence adds value. It is front-loaded with purpose and use cases. Could be slightly more concise, but it's well-structured.

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 output schema, the description adequately explains the return value as a comprehensive interpretation covering multiple aspects. It mentions word count and Master Number detection. Reasonably complete for a numerology reading 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%, so the schema already documents both parameters well. The description adds little beyond saying 'consonants will be extracted' which is already implied by the schema. Baseline 3 is appropriate.

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

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

The description clearly states the tool calculates the Personality number from consonants in birth name using Pythagorean numerology, and distinguishes from sibling tools like life path or soul urge by specifying its unique focus on outer personality and first impressions.

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 mentions use cases such as personal branding apps, social skills training, etc., providing context for when to use. However, it does not explicitly state when not to use or compare directly to alternative sibling tools.

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 provided. Description indicates it performs a calculation and returns output. Does not disclose whether it's idempotent, requires authentication, or has side effects. For a pure calculation tool, it's adequate but lacks explicit behavioral traits.

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 pack all essential information: action, inputs, output, use cases. Front-loaded with key details, no redundant 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?

Covers all parameter roles and output expectations (monthly theme, practical focus, parent year context). Mentions default behavior implicitly. No output schema, but description explains return values. Slightly lacks detail on defaults for optional parameters.

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%, with each parameter documented. The description mentions birth month, day, target year, and month but adds no new semantic depth beyond what schema provides. Baseline score 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?

Description clearly states the tool calculates Personal Month number from birth month, day, and target year/month. It specifies output: monthly theme, practical focus, and parent Personal Year context. Distinguishes from siblings by focusing on monthly forecast within Personal Year cycle.

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 states use cases: monthly forecast features, push notifications, calendar integrations, editorial columns, coaching. Lacks explicit when-not-to-use or comparison with siblings like post_numerology_personal_day or post_numerology_personal_year, but 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?

With no annotations, the description fully bears the burden. It discloses the return content (theme, opportunities, challenges, advice) and the concept of 9-year cycles, providing sufficient transparency about the tool's behavior without 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 starts with the core function and then adds context and use cases. While it is somewhat lengthy, each sentence provides value. It could be slightly more concise, but overall well-structured.

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 output schema and moderate complexity, the description covers the tool's purpose, inputs, output content, and appropriate use cases. Lacks error handling or example output, but still fairly 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 coverage is 100%, but the description adds value by explaining how the inputs (month, day, year) are used in the calculation and noting that year defaults to current. This goes beyond the schema's basic definitions.

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 calculates Personal Year number using Pythagorean numerology, specifying the inputs (birth month, day, current year) and the output (annual forecast). It distinguishes from siblings by focusing on the year cycle versus personal day/month or other numerology tools.

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 mentions use cases (yearly planning, life coaching, etc.) but does not explicitly state when to use this tool over siblings like personal_month or personal_day. No exclusions or alternatives 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?

With no annotations, the description carries full burden. It transparently states the tool returns a comprehensive interpretation, detects Master Numbers, and provides 300-500 word meanings. It does not mention error handling or edge cases, but overall clearly describes behavior.

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 core purpose but includes marketing language about use cases and detailed output descriptions. It could be more concise for an AI agent.

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 output schema and no annotations, the description covers input, process, output range, and use cases. It lacks error handling details but is adequately complete for a straightforward calculator 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 coverage is 100%, so baseline is 3. The description adds context that fullName is the birth name and vowels will be extracted, and reinforces lang parameters. It does not add significant meaning beyond the schema.

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

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

The description clearly states the tool calculates the Soul Urge number from vowels in the birth name using Pythagorean numerology. It specifies the resource (Soul Urge number) and action (calculate), and distinguishes it from sibling tools by mentioning the comprehensive interpretation including personality traits, emotional needs, 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 lists use cases like self-discovery apps and personal development, implying when to use it, but does not explicitly contrast with sibling tools or state when not to use it. No exclusions or alternatives are mentioned.

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