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

With no annotations, the description carries the full behavioral burden. It does disclose the computational model (weights assigned to birth year/month/day/hour) and the return shape (destiny poem with interpretation), but says nothing about determinism, calendar conversion assumptions, or whether the input timezone matters.

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 English sentence is well front-loaded, but the Chinese sentence restates the same content in full, and the 'exclusive to chinese-astrology-skill' claim adds no actionable information. Roughly a third of the text is redundant, though total length stays modest.

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 one-parameter, no-output-schema tool, the description covers what goes in, what computation happens, and what comes back (poem plus interpretation), so an agent has enough to call it correctly. It falls short only on edge-case behavior such as solar/lunar handling and timezone expectations.

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% for the single solarDatetime parameter, so the schema already carries the format and example. The description adds only that the datetime is decomposed into year/month/day/hour weights, which is marginal semantic value. Baseline 3 applies.

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

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

Names a specific verb+resource (calculate bone weight fortune) and identifies the underlying method (Yuan Tiangang's Tang Dynasty 秤骨算命), which is enough to separate it from getBaziChart or getAlmanac. However, it never explicitly contrasts itself with those siblings, so the differentiation is inferred rather than stated.

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 the usage context (you want a bone-weight fortune rather than a Bazi chart or almanac), but there is no explicit when-to-use, when-not-to-use, or named alternative. The 'exclusive to chinese-astrology-skill' note is a namespace remark, not routing 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?

With no annotations, the description carries the full burden, and it does disclose the search range (1700 to present) and that all matching solar datetimes are returned. It says nothing about cardinality of results, ordering, ambiguity handling, or performance limits, which matter for a reverse-lookup that can be one-to-many.

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 short sentences, front-loaded with the core action and the return behavior. The Chinese sentence duplicates the English content, adding length, but serves a plausible bilingual-audience 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?

For a simple single-parameter tool with no output schema, the description covers purpose, input form, result content, and temporal range. It stops short of noting that multiple dates may match or how results are ordered, a minor gap.

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

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

Schema description coverage is 100% and the single bazi parameter is already documented with format and an example, so the schema does the heavy lifting. The description adds no further format or parsing semantics beyond what the schema provides; baseline 3 applies for a 1-param tool with full coverage.

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

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

States a specific verb (find) and resource (possible birth dates) plus the input (a BaZi string), which reads clearly as the inverse of the sibling getBaziChart. It does not name the sibling, so the distinction must be inferred from the direction of the lookup.

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

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

Usage is implied by 'from a BaZi string' (use this when you have pillars and want dates), but there is no explicit when-to-use statement, no exclusion, and no reference to getBaziChart as the opposite-direction alternative.

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 burden. It usefully enumerates the return payload (lunar date, auspicious/inauspicious activities, directional gods), which signals a read-only lookup, but says nothing about permissions, rate limits, or data source/accuracy caveats.

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 short sentences with the core purpose front-loaded and return contents enumerated. The bilingual repetition of the same sentence adds length without new information, though it does serve non-English callers.

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

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

With no output schema, the description must describe returns, and it does list the key fields while noting 'and more'. For a simple zero-required-param lookup this is nearly complete; only the exact payload shape remains unspecified.

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% and the single solarDatetime parameter is fully documented in the schema (ISO format, defaults to today China time). The description only refers to 'a specific date', adding no format or default semantics beyond the schema, so the baseline 3 applies.

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

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

States a specific verb (Get) and resource (Chinese almanac/黄历) scoped to a date, plus an outline of the return contents. An agent can distinguish this from the numeric/chart siblings (getBaziChart, calculateBoneWeight), though the description never names or contrasts them explicitly.

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

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

Usage is implied by the resource itself — fetch almanac data for a given day — but there is no explicit when-to-use, when-not-to-use, or routing to alternatives among the sibling tools. Adequate but leaves selection entirely to inference.

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

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

With no annotations, the description carries the full behavioral burden. It frames the tool as a computation and lists what is returned, which conveys read-only, non-mutating behavior, but says nothing about permission needs, latency, or whether historical/future dates are restricted or error out.

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

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

Front-loaded: the verb and resource come first, the output enumeration second. The bilingual duplication of the same sentence adds length without new information, but there is no filler beyond that.

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

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

There is no output schema, so listing the returned fields (Ten Gods, Hidden Stems, Decade Fortune) is genuinely useful compensation and tells the agent what to surface. The remaining gap is input-side: it never clarifies which datetime field to supply or why gender is required.

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

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

Schema description coverage is 100% and every parameter carries its own bilingual description, so the schema does the heavy lifting. The description adds no extra meaning — it does not explain the required gender field, the lunar-vs-solar choice, or the eightCharProviderSect default.

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

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

States a specific verb and resource ('Calculate a complete BaZi chart') and enumerates the outputs (eight characters, Five Elements, Ten Gods, Hidden Stems, Decade Fortune). Nothing about it overlaps with findBirthDates, getAlmanac, or calculateBoneWeight, so an agent can discriminate it without opening the schema.

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

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

The phrase 'from birth datetime' implies the input context but never states when to prefer this over the sibling fortune/almanac tools, nor how to choose between lunarDatetime and solarDatetime — a central decision for this tool. Usage is only inferable, not stated.

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