AstroWay Vedic astrology

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. Description adds that it returns a 'plain-text human-readable summary' and clarifies the budget-checking purpose, providing useful context 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 efficient sentences: purpose, usage guidance, and return format. Front-loaded with key information, no wasted 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?

Despite lacking an output schema, the description specifies the return format (plain-text human-readable summary). For a simple status check tool, this is complete and 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?

Tool has zero parameters, so schema coverage is 100%. Description does not need to explain parameters, and it adds value by hinting at the output format.

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 verb 'Check' and the resource 'API key status' with specific attributes (tier, credit balance, rate limits, monthly cycle reset). It distinguishes itself from the many sibling astrology calculation 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?

Explicitly instructs to run this tool BEFORE invoking expensive endpoints, providing credit thresholds (Tier 4+ at 100+ credits, Tier 6/7 at 500-5000 credits) to confirm budget.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), yet the description adds genuine behavioral context beyond them: executors are kept out of the vendor objects because an unexpected key causes a 400 on the vendor side, and cost is flagged as not in the public credit manifest. That is real operational value.

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?

Roughly three sentences, front-loaded with the purpose before the format and executor caveats. It is dense but each sentence carries information, though the format explanation partially duplicates the schema's own enum description.

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 and full annotation coverage, the description need not explain return values, and it appropriately focuses on the vendor-shape contract and the executors/400 gotcha. It is nearly complete, with the only gap being sibling disambiguation rather than missing operational detail.

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 every parameter in depth (limit ceiling rationale, select values, precision semantics). The description only restates format and its default, adding no parameter meaning the schema lacks. Baseline 3 is correct.

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 what the tool returns: tool definitions for an agent framework, generated from the live OpenAPI document. It is specific about the resource and the vendor-shape variants (openai vs anthropic objects). However, it never distinguishes this from the near-identical sibling astroway_mcp_tools_list, which an agent would plausibly confuse it with.

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

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

There is no explicit when-to-use, when-not-to-use, or alternative-naming guidance. The mention that openai objects 'spread straight into a chat completion' implies a use case, but the agent is left to infer when this endpoint is preferable to astroway_mcp_tools_list or the MCP tool-call streaming siblings.

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 readOnly/idempotent/non-destructive/closed-world, so the safety bar is low; the description still adds real value by clarifying that endpoints are NOT invoked and that results are cached with a 5-minute TTL. It also discloses the return shape (total + per-endpoint breakdown with tier annotations), which is meaningful since no output schema exists.

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 tight sentences, front-loaded with the core capability and the non-invocation guarantee, followed by workflow guidance and the cache note. Nothing is wasted.

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

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

Despite having no output schema, the description explains the return value, and the invocation-free and cache behaviors are covered. For a one-parameter, read-only estimator this is fully 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 description coverage is 100% and the single 'endpoints' parameter is fully documented with examples and the leading-slash rule in the schema. The description only restates 'one or more endpoints' without adding format or constraint detail beyond the schema, so 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 and resource ('Estimate the credit cost of one or more endpoints') and immediately pins the scope with 'WITHOUT invoking them', which no sibling tool does. An agent can distinguish this from the many invocation/report siblings at a glance.

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?

Gives explicit workflow guidance: 'estimate first, ask user confirmation, then invoke' for multi-step planning. This is clear when-to-use context, though it names no alternative tool or when-not-to-use condition.

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, idempotentHint, and destructiveHint=false, so safety is covered. The description adds genuinely useful operational context — cost (100 credits, Tier 4), the required-parameter set, and the endpoint. It stays silent on runtime behavior an agent might care about, such as whether the multi-round debate is long-running, streamed, or bounded in output size. The POST endpoint is not a contradiction of readOnlyHint, but it is worth noting.

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?

Tight and well front-loaded: the core operation comes first, then compact bracketed metadata. Every line carries information (endpoint, required fields, cost) rather than filler. Its brevity is a virtue, though it edges into under-specification.

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?

An output schema exists, so return values need not be described. But for an 8-parameter tool with a nested chart object, aless-than-40% coverage, and a cost of 100 credits, the description leaves critical gaps — most importantly the semantics of agentA/agentB and the effect of rounds/language.

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 only 38%, so the description carries a heavier burden, and it does not meet it. It restates the three required parameters that the schema already marks as required, but never explains what agentA/agentB actually are (persona strings? model IDs?) or what topic expects. Optional params like rounds, language, and fields get no mention.

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?

Uses a specific verb-and-resource phrasing: '2 personas debate a topic, multi-round transcript.' An agent can grasp the operation immediately. However it does not differentiate itself from close siblings such as astroway_mcp_multi_agent_coordinate, astroway_mcp_ai_chat, or astroway_mcp_ai_comparison_coach, which plausibly overlap.

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

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

There is no when-to-use guidance and no named alternative. The bracketed metadata lists required fields and cost but never says when this debate tool is preferable to multi-agent coordination or AI chat. The [Group: MCP Advanced] tag is organizational, not decision-supporting.

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, idempotentHint, destructiveHint false, and openWorldHint false. The description adds useful behavioral context in the form of the cost (10 credits, Tier 1) and HTTP method (GET), but does not describe what the status output contains or any auth/rate-limit details.

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 text is short but poorly structured: a vague fragment followed by bracketed metadata lines. It is under-specified rather than concise, and the opening line does not front-load a clear 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?

Although an output schema exists and annotations cover the safety profile, the description still leaves the agent without a clear statement of what the tool does or when to call it. For a status endpoint in a large sibling set, this is a significant omission.

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 two optional parameters (fields, precision) are fully documented in the schema itself. The description adds no parameter meaning beyond the schema, so the baseline of 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?

The description gives only a fragment, '8 personas with specialties,' which hints at pool composition but never states that this tool returns agent pool status or what that status contains. It lacks a clear verb and resource, and does not distinguish itself from siblings like astroway_mcp_multi_agent_coordinate or astroway_agent_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?

There is no guidance on when to use this tool, when not to use it, or which sibling tool is the alternative. The description contains only metadata tags, not usage instructions.

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 read-only, non-destructive, open-world behavior, so the bar is lower; the description still adds real behavioral facts beyond them — a 10-turn history ceiling, 21 output languages, four selectable voices via persona, and a concrete pricing rule (5 credits with your own provider key vs. the endpoint price). It stops short of stating auth requirements or what happens when the history limit is exceeded. No contradiction with 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 tight sentences: the differentiator first, capabilities second, pricing last, followed by a compact metadata block (group, endpoint, required param, tier cost). Every clause carries new information and nothing is repeated from the schema.

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 needn't explain return values, and annotations cover the safety profile, so what remains — what the tool is for, its capability envelope, and its cost model — is covered. The main gap is that nothing tells an agent when this endpoint should be picked over the other AI/agent siblings.

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?

Top-level schema description coverage is only 43% (chart, fields and precision documented; message, persona, language and history not), so the description must compensate and partially does — it explains persona (four voices), history (~10 turns) and language (21 options). It says nothing about chart, fields compact-mode paths, or precision, though the nested chart schema does carry unusually rich self-documentation for those.

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 — an AI chat answered from computed natal-chart positions rather than the model's prior knowledge of a sun sign — and quantifies scope (10 turns, 21 languages, 4 personas). It clearly implies a different product from sibling AI utilities such as astroway_mcp_ai_explain_aspect or astroway_mcp_ai_comparison_coach, but never names them, so the differentiation is by tone rather than explicit contrast.

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 context is implied rather than stated: the credit-price note ('send your own provider key and the turn costs 5 credits instead of the endpoint price') hints this is a paid, higher-tier call, and 'chart-grounded' hints the input needs birth data. There is no explicit when-to-use-it, when-not-to, or routing rule against the other chat/agent endpoints in the sibling list.

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

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true and idempotentHint=false, so the safety profile is covered. The description adds genuinely useful operational context (the 100-credit Tier 4 cost and the POST endpoint), but says nothing about the fact that an LLM-backed coach may return non-deterministic prose, what latency to expect, or what deprecates the idempotentHint=false signal.

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 four lines are tight and the purpose sentence is front-loaded ahead of the bracketed metadata block. Nothing is padded, though the metadata lines are boilerplate rather than definitional content.

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?

An output schema exists, so return values need not be explained, and the cost/endpoint block is present. But for a six-parameter AI tool embedded among dozens of similar compatibility siblings, the description lacks any hint of what the coaching output contains or what makes a good 'question', leaving the agent to guess at scope.

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 67% and the nested chart objects carry extensive inline documentation (formats, rejected short names, timezone semantics, houseSystem letters), so the schema does the heavy lifting. The description only restates the required parameters (chart1, chart2, question), adding no meaning for question, language, fields or precision. 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 names a specific verb (coach), the resources (two charts) and the domain (relationship dynamics), so the agent knows this produces interpretive guidance rather than raw chart data. It does not, however, distinguish itself from the many sibling compatibility tools (ashtakoot, dashakoota, compatibility_full) or from astroway_mcp_ai_chat, so sibling differentiation is left to inference.

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

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

There is no when-to-use or when-not-to-use guidance, and no alternative is named. A reader cannot tell whether to reach for this AI coach versus the deterministic Vedic compatibility endpoints or multi_chart_context. The only constraints given are required parameters and cost, which are not usage 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true and idempotentHint=false, so the safety profile is covered without the description. The description does add genuinely useful operational context not present in the annotations: the credit cost (100 credits, Tier 4) and the endpoint. However it never explains why a read-only operation is flagged non-idempotent (repeated calls likely yield differently worded narrative), which is the one behavioral trait an agent would most want here.

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 purpose sentence is front-loaded and the payload is small. The '[Required: planet1, planet2, aspectType]' line duplicates the schema's required array, but the cost and endpoint lines justify their space.

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?

An output schema exists, so return values need not be described. But for a 7-parameter tool with a nested chart object and LLM-backed generation, the description omits the valid domain for planet1/planet2, any usage guidance versus explain_transit, and any hint about generation latency or variable output.

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 description lists the three required parameters, but schema coverage is only 43% and planet1/planet2 carry no description, no enum and no example anywhere in the schema, so the agent must guess the accepted form (planet names such as 'Mars'?). The description does not compensate for that gap, which is the weakest part of the definition.

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 and resource: 'explanation of an aspect between two planets.' An agent can tell it apart from the sibling astroway_mcp_ai_explain_transit by the resource alone, but the description never makes that contrast explicit nor states what kind of explanation is produced.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of the sibling explain_transit as an alternative. The only contextual cues are bracketed metadata (endpoint, required fields, credit cost), which tell the agent what it costs but not when it should be chosen.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description usefully adds the cost (100 credits, Tier 4) and the endpoint, which annotations do not provide. It does not explain why idempotentHint is false for a read-only call, nor what the AI explanation entails.

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 short and front-loads the purpose before the bracketed metadata. The bracketed group/endpoint/required/cost lines are slightly noisy but each carries compact information, so there is little waste.

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?

An output schema exists, so return values need not be described. But for a 5-required-parameter tool with a near-twin sibling, the description omits the disambiguation, parameter usage, and cost implications an agent needs before committing. It is minimally adequate rather than 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 only 38%, so the description should compensate, but it merely restates the five required parameter names that the schema already marks required and says nothing about what transitPlanet, natalPlanet, aspectType accept or how the optional fields/precision/language parameters behave. It adds no 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?

States a specific verb and resource: 'Explain a current transit hitting your natal chart.' An agent can grasp the purpose immediately. However, it never distinguishes itself from the close sibling astroway_mcp_ai_explain_aspect, leaving the borderline case ambiguous.

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

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

There is no when-to-use guidance, no exclusions, and no comparison to the near-identical sibling astroway_mcp_ai_explain_aspect. The '[Required: ...]' and '[Cost: ...]' lines are metadata, not routing guidance. The agent gets no help deciding between this and other AI 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered structurally. The description usefully adds the cost (100 credits, Tier 4) and the endpoint/group, but says nothing about latency, response shape of the synthesis, or how many personas are permitted (schema caps at 4).

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

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

Front-loaded with the operative sentence, followed by compact bracketed metadata; there is no filler prose. The brevity is close to under-specification rather than pure conciseness, keeping it out of the top band.

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?

An output schema exists so return values need not be described, and cost is disclosed. However, for a tool whose whole contract is choosing personas and a question, the description never explains what the agents array should contain, leaving the most decision-relevant input undocumented across both description and schema.

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 only 50% and the description adds no meaning beyond listing the two required names. Critically, the 'agents' array is the defining parameter and neither the schema nor the description explains what identifiers it accepts, and 'question' semantics are equally unexplained.

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 (Run), resource (N personas) and mechanism (parallel + LLM synthesis), which is more informative than a tautology. It does not name or distinguish itself from the obvious sibling astroway_mcp_agent_debate, so the agent must infer the difference between coordinated parallel personas and a debate.

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?

No when-to-use guidance, no prerequisites, and no alternatives are named despite several closely related siblings (agent_debate, multi_chart_context, ai_chat). The '[Required: question, agents]' line just restates the schema's required array rather than telling the agent when this tool is the right choice.

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 destructiveHint=false, so safety is covered. The description adds genuinely useful non-annotation behavior: a 10-credit (Tier 1) cost and the POST endpoint. It says nothing about what the operation returns or how it behaves across the 1-6 chart array, so it earns only partial credit.

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?

It is short and front-loads the one-sentence purpose, with well-organized bracketed metadata. But that metadata is machine-oriented boilerplate (group/endpoint/required) and the prose line is largely redundant with the title, so the brevity reflects under-specification as much as discipline.

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?

An output schema exists, so return values need not be explained, but for a tool taking up to six nested chart objects with four intent modes and compact-mode fields/precision, the description is far too thin. It gives an agent no way to know what a "compatibility" vs "forecast" run produces or why to pick it over the many neighbouring multi-chart tools.

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 only parameter content is "[Required: charts]", which merely repeats the schema's required array, adding zero meaning. The description says nothing about `fields`, `precision`, or the four `intent` modes — the latter has no schema description at all despite being the main selector. At 50% schema coverage this is a real gap it fails to fill.

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?

"Compact context for MCP agents working across multiple charts" largely restates the name/title (multi-chart context) without naming an action or an output. The word "context" is undefined — it never says whether this computes cross-chart aspects, comparison summaries, or group forecasts. Only the bare notion "multiple charts" distinguishes it from the many single-chart siblings.

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

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

There is no when-to-use guidance at all: no trigger conditions, no prerequisites, and no routing against the large sibling set (e.g. astroway_mcp_multi_agent_coordinate or astroway_mcp_ai_comparison_coach). The `intent` enum (compatibility/family/group/forecast) suggests several distinct use cases, but the description never explains when to choose which.

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds genuinely useful context the annotations do not: the endpoint, the 10-credit Tier 1 cost, and the group. It does not disclose result ordering, chunk granularity, or hit limits, so it stops short of rich behavioral context.

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?

Four short, front-loaded lines with no prose padding; the core purpose statement leads. The "Required" line is redundant with the schema, which is the only real waste.

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 tool taking a deeply nested chart object plus three tuning parameters, the description is thin: no sense of ranking/scoring semantics, no indication of what the chunks are drawn from, and no guidance on choosing topK. An output schema exists so return format need not be explained, but the retrieval behavior itself is left entirely to inference.

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 a middling 60%. The description adds no parameter meaning at all — it only echoes the two required names already enforced by the schema — and says nothing about topK's default/range, the fields compact projection, or precision, the parameter most likely to be misused.

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 the mechanism (keyword-tag scoring) and the corpus (chart chunks), which goes beyond simply restating the tool name. However, it never says what the tool returns or what a "chunk" is, so an agent cannot tell whether this is a document retriever over interpretive text or a query over computed chart data.

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 only usage-adjacent line is "[Required: query, chart]", which merely restates the schema's required list. There is no statement of when to reach for this tool rather than a direct retrieval sibling (e.g. astroway_mcp_multi_chart_context), and no prerequisites or 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered. The description adds genuinely non-derivable behavior: the response is delivered as an SSE stream rather than one payload, crediting at 100 credits (Tier 4), and the concrete endpoint. It omits auth requirements and why idempotentHint=false, which keeps it out of 5 territory.

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?

Short and front-loaded: the core capability leads, with bracketed metadata (group, endpoint, required param, cost) following compactly. Every line carries information, though the template-style [Group:]/[Endpoint:] format is more machine header than prose.

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 streaming tool with no output schema and a nested chart parameter, the definition covers the essential facts (SSE transport, required message, optional chart, cost). It does not describe what the stream emits or how chart context influences the completion, leaving gaps an agent would notice mid-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 description coverage is 60%, with the nested chart object heavily documented in the schema itself (timezone, houseSystem letters, lat/lon full names, ayanamsa). The description adds only 'optional chart context', which restates the schema's required list. Baseline 3 is appropriate when the schema does most of the work.

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

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

States a specific verb+resource+mechanism: 'Server-Sent Events streaming chat completion with optional chart context.' An agent can tell this is a streaming chat tool rather than a static computation. It does not explicitly name or contrast with the closest sibling astroway_mcp_ai_chat, so it stops short of a 5.

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

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

No when-to-use or when-not-to-use guidance. Nothing tells the agent to prefer this over astroway_mcp_ai_chat (non-streaming chat) or astroway_mcp_tool_call_stream; the streaming qualifier implies a context but the choice is left 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?

Annotations already declare readOnly/idempotent/non-destructive/closed-world, so the safety profile is covered. The description adds two genuinely useful behavioral facts annotations cannot express: delivery is server-sent events rather than a single response, and the call costs 10 credits (Tier 1). It still omits stream termination, error-over-stream behavior, and whether partial results can be replayed.

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?

Very short and front-loaded: one sentence of purpose followed by structured metadata brackets. Nothing is wasted, though the single sentence is so compressed that the core mechanics of the tool are never actually spelled out.

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 5-parameter tool with a nested free-form args object, a free-text tool selector, compact-mode options, and no output schema, this is under-specified. An agent cannot tell what the stream emits, how to consume it, or what valid values for tool are (presumably must match astroway_mcp_tools_list entries), all of which are load-bearing here.

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 only 40% across 5 parameters, and the description adds nothing beyond confirming that tool is required. args (arbitrary nested object forwarded to the target tool), language, and the compact-mode interplay of fields/precision are left entirely to the schema; the description should explain that args are passed through verbatim to the named tool.

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?

"SSE-stream of a tool call envelope" names a delivery mechanism and an artifact, so the agent knows this is a streaming wrapper that executes a named tool. However, "tool call envelope" is opaque jargon and the definition never states the key fact that this proxies/executes another MCP tool by name, nor how it differs from the sibling astroway_mcp_streaming or astroway_mcp_tools_list.

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 only usage cue is the bracketed "[Required: tool]" — there is no when-to-use, no when-not-to-use, and no routing to an alternative despite multiple plausible siblings (astroway_mcp_streaming, astroway_mcp_tools_list, astroway_agent_tools). The agent must guess whether streaming is preferred over a plain call.

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 destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context the annotations do not: the concrete GET endpoint and a cost caveat that this scope is not in the public credit manifest. It does not explain response size or pagination for a manifest that presumably enumerates all tools.

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 single purpose sentence is front-loaded and the metadata tags are compact, but the bracketed group/endpoint/cost lines are boilerplate scaffolding rather than description content. Nothing is wasted, yet very little informational payload is delivered.

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?

An output schema exists so return-value documentation is not required, but for a meta-tool that enumerates the entire tool surface, the description never explains the scenario in which an agent would reach for it instead of directly invoking a domain tool. Given the enormous sibling set, this leaves a real 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%, so both `fields` and `precision` are already documented in the schema with examples and constraints. The description contributes no additional parameter meaning; the 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?

"Auto-generated tool manifest for MCP clients" largely restates the name 'MCP Tools List' without a distinct verb or an explanation of what the response actually contains. It gives an endpoint and spec version but no functional description that would distinguish its purpose from any other listing endpoint.

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

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

There is no statement of when an agent should call this tool, what problem it solves, or how it relates to the ~190 sibling tools. The only contextual cues are the bracketed [Group]/[Endpoint]/[Cost] metadata tags, which are not usage 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?

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description adds genuinely useful invocation context — cost (20 credits, Tier 2) and the POST endpoint — but says nothing about auth needs, rate limits, or payload size, so it only partially extends beyond the structured data.

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?

Single compact sentence plus bracketed metadata, front-loaded with the operation. Every element carries information; the structure is scannable. Slight redundancy in the alias note, which restates the tool's own identity.

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?

An output schema exists, so return values need not be described, and the birth-data body is thoroughly explained in-schema. What is missing is anything about what the cascade output means or how this depth relates to the surrounding dasha levels, which matters for a domain-specific calculation 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% and the three parameters (body, fields, precision) are each documented in-schema with detailed descriptions. The description adds nothing about parameters, so the baseline 3 for high-coverage schemas 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 resource (Shodashottari Pratyantardasha) and its depth structure ('3-level cascade (MD → AD → 8 PDs)'), which helps distinguish it from the antar/prana/sookshma variants in the sibling list. It stops short of explicitly naming which sibling to prefer at a given depth, but the cascade description is concrete enough to place it.

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

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

There is no when-to-use guidance, no prerequisites, and no stated alternatives. The only routing hint is the note that it is an alias for `astroway_vedic_dashas_shodashottari_pratyantar`, which is a duplicate, not an alternative — an agent still cannot tell why it should pick this over shodashottari_antar or _sookshma.

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, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description's genuine added value is the cost disclosure (50 credits, Tier 3) and the endpoint/method, which tell the agent this is a paid computation. It adds nothing about precision, computation assumptions, or response shape, so it is adequate but not rich.

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 purpose sentence is front-loaded and wastes no words, and the bracketed metadata block (group, endpoint, required, cost) is skimmable and easy to parse. The only redundancy is repeating the required-parameter list that the schema already enforces.

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?

An output schema exists, so return values need not be explained, and the safety profile is carried by annotations. However, for a 15-parameter paid computation with 33% schema coverage, the description omits any guidance on ayanamsa/zodiac selection and when to prefer this over sibling strength tools, leaving real decision 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 only 33% across 15 parameters, so the description is expected to compensate, and it does not. It merely restates the four required parameters (date, time, latitude, longitude) that the schema already marks as required, giving no meaning to ayanamsa, zodiacType, houseSystem, timezone, fields, or precision. Since Ashtakavarga is a sidereal technique, silence on zodiacType/ayanamsa is a real gap.

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 names a specific verb (Calculate) and resource (Ashtakavarga benefic point table), then goes further to enumerate the output content: per-planet bindus per sign plus the total Sarvashtakavarga. It is unmistakable against the vast Vedic sibling list since no other tool computes Ashtakavarga. It stops short of explicitly contrasting with related strength tools like shadbala, so it is not a full 5.

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

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

There is no when-to-use guidance, no statement of prerequisites (e.g., that the technique is inherently sidereal), and no naming of alternatives among the shadbala/varga siblings. The bracket block lists required inputs and cost but never says under what circumstances an agent should reach for this tool over another.

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 and openWorldHint=false, so the safety profile is covered. The description adds the cost tier (20 credits), the endpoint, and the return structure, but says nothing about auth requirements, rate limits, or how the components relate to each other. Adequate but limited added context.

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 main sentence is dense with domain jargon but front-loads the essential meaning, and the bracketed meta block (group, endpoint, required, cost) is cleanly structured. Slightly heavy on untranslated Sanskrit term names, but nothing is wasted.

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

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

An output schema exists, so the description need not detail return values, and it helpfully sketches them anyway. However, for a 15-parameter tool with low schema coverage and no usage guidance, the absence of any parameter or configuration guidance leaves a real 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 only 33% across 15 parameters, so the description carries the burden of compensating and does not. It merely restates the four required parameters (date, time, latitude, longitude) that the schema already marks required, and never explains the semantics of ayanamsa, houseSystem, zodiacType, or the compact-mode fields/precision options.

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 names a specific computed resource (strength of the twelve houses) and enumerates its three constituents: Bhavadhipati Bala, Bhava Digbala, and Bhava Drishti Bala. It clearly separates itself from the sibling shadbala tools, which compute planetary rather than house strength, and states the classical source (BPHS Adhyaya 27).

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

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

Usage is only implied by the content: an agent can infer this is for house-strength analysis rather than planetary (shadbala_*) or transit (ashtakavarga) strength. There is no explicit when-to-use statement, no prerequisites, and no naming of an alternative tool to prefer in adjacent cases, despite a very large sibling set.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is low. The description adds genuine context beyond them: the cost tier (50 credits, Tier 3) and the shape of the verdict output including Bhakoot/Nadi dosha flags. It does not mention auth requirements or latency, but for a pure read-only computation this is solid.

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

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

Front-loaded with the defining content (8-Kuta breakdown, thresholds, return shape) before the bracketed metadata, so an agent gets the essentials in the first sentence. The Kuta enumeration is dense but each item earns its place as a scope definition; the [Required] line is mildly redundant with the schema.

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 a full output schema, rich annotations, and 100% parameter description coverage in the schema, the description need not explain returns or chart construction. It supplies the domain framing (what the 36-point scale means, what the dosha flags are) that lets an agent report results sensibly. Only the absence of sibling routing keeps it from being 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 100%, so the schema already documents every parameter, including the compact-mode `fields` and `precision` options and the rich chart object semantics. The description only restates the two required params (chart1, chart2), adding nothing the schema does not already carry. Baseline 3 is correct.

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 names the specific resource and scope precisely: the canonical 8-Kuta / 36-point matchmaking, enumerating all eight Kutas with their weights (Varna 1 through Nadi 8). That enumeration uniquely identifies it against siblings like astroway_vedic_compatibility_dashakoota (10-Kuta) or _full, even though no sibling is named outright. Clear and specific, but it stops short of explicit sibling routing.

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 threshold bands (18+ acceptable, 24+ good, 32+ excellent) are interpretation guidance for reading the result, not invocation guidance. There is no statement of when to choose this over the other four compatibility endpoints (bhrigu_match, dashakoota, full, mangal_match) or any prerequisite for calling it. Usage is implied by the name only.

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, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful non-schema context: the endpoint path, the two required chart inputs, and the 50-credit Tier 3 cost, which matters for a paid call. No auth or rate-limit detail, but nothing misleading.

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

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

Front-loaded with the differentiator in the first sentence and the computation in the second; the bracketed metadata block is terse and each token (endpoint, required, cost) carries information. Slightly redundant with the schema on 'Required: chart1, chart2', but no wasted prose.

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?

An output schema exists, so return values need not be described, and the description covers what is computed, the required inputs and the cost. Given the crowded compatibility sibling set, the one gap is guidance on when this beats compatibility_full; otherwise it is complete for a read-only, idempotent computation 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% and the nested chart object is thoroughly documented in the schema itself (date/time formats, timezone semantics, houseSystem letters). The description only restates the two required parameter names, adding no syntax or format meaning beyond structured fields. Baseline 3 is correct.

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 computation ('counts benefic/malefic planets in each partner's 7H from Lagna') and the exact output vocabulary ({beneficial|challenging|neutral}). The closing line 'NOT a numerical match score' actively separates it from the several score-based compatibility siblings (ashtakoot, dashakoota). An agent can tell what this returns 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 negative disambiguation ('NOT a numerical match score') gives implied usage — pick this for qualitative 7H placement rather than point totals — but no alternative is named. With five compatibility siblings (ashtakoot, dashakoota, full, mangal_match, manglik_check) an explicit 'use X when Y' would be needed for a 4 or 5. Guidance is inferable, not stated.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower, and the description adds real operational context: cost (50 credits, Tier 3), endpoint, and the required chart pair. It also makes the scoring deterministic and auditable (specific nakshatra counts and 13 obstructing pairs), which helps an agent reason about the result rather than treat it as a black box.

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 purpose and the additive scoring relationship are front-loaded in the first clause, followed by the two rule definitions and a compact metadata block. It is dense but every line carries information; no filler or repetition.

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

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

For a two-chart calculation with rich annotations and an output schema, coverage is mostly adequate. The notable gap is chart ordering: Mahendra counting is directional (counted from one nakshatra to the other), yet the description never says whether chart1 is the reference and how that affects the 2-point award, nor how to read the 39-point total.

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 nested chart object is documented in unusual depth (timezone handling, field-name rejections, house-system letters), so the schema carries parameter semantics. The description only restates that chart1 and chart2 are required and adds nothing about parameter meaning itself.

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 names a specific domain resource and computation: an extended matchmaking score that adds Mahendra (2) and Vedha (1) to the Ashtakoot 36 for a 39-point maximum. That implicitly separates it from astroway_vedic_compatibility_ashtakoot, though it never names the sibling or the fuller compatibility_full variant directly.

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

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

Usage is only implied: by framing itself as 'extended ... on top of Ashtakoot 36', it signals when an agent would prefer it over the plain Ashtakoot tool. There is no explicit when-to-use/when-not statement, no mention of compatibility_full, and no prerequisite or alternative routing.

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

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false), so the description only needs to add context beyond that. It discloses the real behavioral cost driver — 50 credits, Tier 3 — and the fact that the response is a single aggregated call, which is genuinely useful for planning. No contradiction with the read-only 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 response contents are front-loaded in a single dense sentence, followed by four compact metadata tags (group, endpoint, required, cost). Every element earns its place; there is no padding. Minor: the bracketed tag block is functional rather than prose, but it stays tight.

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, return values need not be explained, and required inputs plus cost are stated. For a tool sitting in a dense cluster of six compatibility siblings, the one remaining gap is explicit routing — the description does not say which sibling to pick instead when a user wants only Ashtakoot or a non-Parashara system.

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 nested chart1/chart2 objects are documented in rich detail (date/time formats, timezone vs timezoneOffset, houseSystem letters). The description only repeats "Required: chart1, chart2," adding nothing about the four top-level parameters (fields, precision) or the nested chart fields. Baseline 3 is correct when the schema does the heavy lifting.

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

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

States a specific verb+resource (combined matchmaking response) and enumerates exactly what it returns: Ashtakoot total, threshold, Manglik check for both partners, per-Kuta sub-scores, and a recommendation. This positions it as the superset of the sibling compatibility tools. It stops short of explicitly naming which siblings it subsumes (compatibility_ashtakoot, compatibility_manglik_check), so differentiation is implied 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?

"in one call" strongly implies this is the aggregation shortcut versus calling the individual Kuta/Manglik endpoints, which is usable guidance. However, it never states when NOT to use it — e.g. versus astroway_vedic_compatibility_dashakoota or bhrigu_match, which are different matching systems, not subsets. No explicit alternative is named.

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

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuine non-obvious context: the BPHS A.39 cancellation logic that governs the result and the 50-credit Tier 3 cost, which is materially useful for planning.

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

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

Front-loaded with purpose and decision logic in the first sentence, with operational metadata (group, endpoint, required params, cost) tucked into bracketed lines. Efficient, though the metadata block is boilerplate rather than narrative.

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?

An output schema exists, so the description is not obliged to explain the full return shape, and it still names the verdict enum. Cost, required inputs and the interpretive rule are all present; only the sibling differentiation is missing for a tool family with several overlapping compatibility endpoints.

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 nested chart objects are thoroughly documented (timezone, houseSystem, coordinate requirements), so the description only needs to confirm the two required inputs. It lists 'chart1, chart2' but adds no semantics beyond the schema; baseline 3 is correct.

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: 'Compares Manglik status of both partners' and names the governing rule (BPHS A.39 mutual cancellation) plus the verdict space. That is enough to distinguish it in substance from the sibling astroway_vedic_compatibility_manglik_check, though the description never actually names that sibling to make the split explicit.

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

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

There is no when-to-use or when-not-to-use guidance. The closest sibling, astroway_vedic_compatibility_manglik_check (single-chart Manglik check), is not mentioned, so an agent must infer from 'both partners' that this is the pairwise variant rather than the single-chart one.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world). The description adds value beyond them by disclosing cost (20 credits, Tier 2), the endpoint, and the required inputs, plus the equivalence to the parashara mangal endpoint. It does not describe depth of the returned interpretation, but that is minor given the output schema exists.

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 dense sentences front-loaded with the core purpose, followed by compact metadata tags for group, endpoint, required fields and cost. Nothing is wasted, though the bracket metadata could be trimmed if the schema already carries the required list.

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 15-parameter tool the description covers only a fraction of the surface, but annotations cover safety, an output schema covers returns, and the metadata block supplies endpoint, cost and required fields. An agent could call it correctly for the common case but would be under-informed about the many optional chart-configuration 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 coverage is only 33% across 15 parameters, so the description is expected to compensate, yet it documents only the 'school' option (strict/north/south, default south) and the required date/time/lat/long. Notably that 'school' parameter does not appear in the supplied input schema, which could confuse mapping, and the remaining parameters (city, name, cosmogram, zodiacType, houseSystem, etc.) are left to their own names.

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 ('Detects Manglik status for a single chart') and explicitly delimits itself to a single chart, which separates it from the sibling astroway_vedic_compatibility_mangal_match (a two-chart match). It also ties itself to the same canon as astroway_vedic_doshas_parashara_mangal so the agent knows the underlying calculation.

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?

Gives clear context: use in matchmaking/compatibility flows, single chart, with school selection. It does not explicitly say when to prefer this over astroway_vedic_doshas_parashara_mangal or the mangal_match sibling, so there is no exclusion guidance, but the intended context is unambiguous.

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 readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value beyond that: the default targetDate of today UTC, the exact arithmetic used to derive the sub-periods, and the 20-credit Tier 2 cost, which an agent needs for budgeting. It does not describe pagination or return shape, but an output schema exists so that is not required.

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-loads the identity of the dasha level, then the qualifying detail (default date) and the formula; the group/endpoint/cost block is compact metadata. No filler sentences, though the alphabetical formula is slightly dense for a description opener.

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?

What the tool returns is covered by the output schema, and cost, endpoint and default date are given, so an agent has enough to invoke it. What is missing is the routing context across the unusually deep dasha family (maha/antar/pratyantar/sookshma/prana for ten different systems) — the description gives no help choosing this level or this system over the ~50 sibling dashas.

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 nested birth-data fields are heavily documented in the schema, so the schema is doing the heavy lifting. The description only adds the default behaviour of targetDate; it says nothing about targetTime, targetTzOffset, fields or precision. 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?

Names a specific dashas level and resource: Ashtottari Antardasha, defined as the 8 sub-periods of the running Mahadasha at a target date. The formula (P.years × Q.years / 108) pins down exactly which level of the dasha hierarchy this computes, which is more than a generic restatement. It stops short of explicitly naming sibling levels (pratyantar/sookshma/prana) to disambiguate the hierarchy, so it is clear but not fully sibling-differentiated.

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

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

There is no statement of when to choose this level over maha, pratyantar, sookshma or prana. The only usage-adjacent detail is that targetDate defaults to today UTC. The agent must infer from the name which dasha depth it needs, with no alternatives or exclusions offered.

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 cover the safety profile (readOnly, idempotent, closed-world), so the description's job is to add domain behavior — and it does: Ketu exclusion, the block-based nakshatra anchoring at Ardra, and the BPHS 46.23 applicability condition (day Krishna OR night Shukla). The credit cost (20, Tier 2) adds practical context, though nothing is said about performance or time range of returned periods.

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

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

Front-loaded with the essential identification (108-year Ashtottari, Ardradi) and compressed into a few dense but information-bearing sentences. The period and nakshatra enumerations are verbose yet directly relevant to the calculation, so little is wasted.

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

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

An output schema exists, so return-value documentation is not required, and the description still notes the applicability flag it emits. Combined with annotations covering safety, the remaining gap is purely the absence of usage/routing guidance among dashed siblings.

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 birth-data fields, timezone rules, ayanamsa and compact-mode fields are all documented in the schema itself. The description adds no parameter-level meaning beyond that, which is the expected baseline when the schema does the heavy lifting.

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

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

States a specific calculation: Ashtottari Mahadasha under the Ardradi tradition, with planetary periods and nakshatra mapping enumerated. An agent understands what is being computed. It does not, however, distinguish itself from the ashtottari_antar/pratyantar/sookshma/prana siblings that share the same scheme at sub-period levels.

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?

No when-to-use guidance and no mention of the four sibling tools at deeper dasha levels (antar, pratyantar, sookshma, prana) that an agent must choose between. The only implicit cue is 'maha' in the name, which is not explained in the description.

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 readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful operational facts – group, endpoint, and the 20-credit Tier 2 cost – but says nothing about output depth, computation cost implications, or failure modes beyond what the schema conveys.

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 short lines, front-loaded with the identifying clause and followed by metadata; nothing is padded or redundant. It is arguably too sparse rather than too long, but every line earns its place.

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

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

An output schema exists, so return values need not be explained, and the input schema is exhaustive. Still, for a tool sitting among dozens of near-identical dasha endpoints, the description fails to explain what this level yields or why it would be chosen, leaving a routing gap the structured fields cannot close.

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 body (birth data, target date/time/tz), fields and precision parameters are already fully documented in the schema. The description adds nothing about parameter meaning or interaction. Baseline 3 is appropriate when the schema does all the work.

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 the specific dasha system (Ashtottari Pranadasha) and its position in the hierarchy ('5-level cascade, finest grain'), which distinguishes it from the coarser ashtottari_sookshma/pratyantar/antar/maha siblings. However, it has no verb at all (compute/return) and assumes the agent already knows what a pranadasha is. Clear but not fully self-contained.

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

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

There is no guidance on when to select this tool versus the four other Ashtottari levels or the many other dasha systems. 'Finest grain' hints at granularity but never states a condition for choosing prana over sookshma or pratyantar, and no prerequisites (birth data requirement) are described.

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, idempotentHint, destructiveHint=false and closed-world, so the safety profile is covered. The description adds the cost (20 credits, Tier 2), which is a genuinely useful behavioral signal for invocation budgeting, plus the endpoint and group tags. It says nothing further about computation semantics or limits, so it is useful but not rich.

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?

Extremely compact and front-loaded: the level/cascade statement comes first, then the metadata tags. Every element carries information and there is no padding. The bracketed Group/Endpoint/Cost lines are metadata rather than prose, which slightly dilutes the description proper.

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?

An output schema exists, so return values need not be explained, but this tool lives in a dense family of identical-looking dasha endpoints where routing is the hard part, and the description does nothing to resolve that ambiguity. For a Tier-2, 20-credit call the definition gives no selection criteria, which is a real 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 body schema itself is exhaustively documented (coordinate forms, timezone vs timezoneOffset precedence, houseSystem letters, ayanamsa rules). The description contributes no parameter meaning beyond that, so the baseline 3 for fully covered schemas is correct.

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 resource and scope: 'Ashtottari Pratyantardasha: 3-level cascade (MD → AD → 8 PDs)', which tells the agent both the dasha system and the exact depth of the level being computed. The naming and the '8 PDs' detail distinguish it from the maha/antar/prana/sookshma siblings in the same family. It stops short of explicitly naming those siblings, so it is clear but not fully self-routing.

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

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

There is no when-to-use guidance and no exclusions. With ~70 near-identical dasha siblings (ashtottari_antar, ashtottari_prana, ashtottari_sookshma, plus every other system at every level), the description never says which level to pick or what input conditions select this tool. The cascade notation implies what is produced but gives no decision 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?

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds genuinely useful operational facts — the POST endpoint and a 20-credit Tier 2 cost — but says nothing about output shape, latency, or pagination/limits on the cascade depth.

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?

Very short and front-loaded: the subject comes first, followed by bracketed metadata lines. There is no filler, though '4-level cascade' is too compressed to carry real 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?

An output schema exists, so return values need not be described, and annotations cover safety. But for a tool with a required multi-field birth-data body sitting among ~10 near-identical Ashtottari and other dasha-level siblings, the description supplies no disambiguation, no usage context, and no explanation of what the sookshma cascade yields.

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 nested birth-data object, fields, and precision parameters are thoroughly documented in the schema itself. The description adds no parameter meaning beyond that, which is the expected baseline when the schema does the heavy lifting.

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

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

Names a specific dasha system and level (Ashtottari Sookshmadasha) and hints at depth with '4-level cascade'. However, it never explains what a sookshma-level dasha is or how it differs from the many sibling levels (maha, antar, pratyantar, prana), so an agent must infer the distinction from the name alone.

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?

No guidance on when to request this depth versus ashtottari_maha/antar/pratyantar/prana, and no prerequisites or exclusions. The metadata lines give group/endpoint/cost but nothing about selection 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 already declare this a safe, idempotent, read-only, closed-world call, so safety need not be repeated. The description adds real domain behavior beyond that: the equal-share subdivision rule (parent_years / 12), the ordering convention (parent's next sign first, parent sign last, attributed to K.N. Rao), the default target date, and the credit cost.

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 identity of the tool is front-loaded in the first clause, followed by the arithmetic rule and the ordering rule, each earning its place. The bracketed Group/Endpoint/Cost block is boilerplate but short and useful for routing and cost awareness.

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, return values need not be explained, and the description covers computation method, ordering, timing default and cost. Minor gaps remain: it does not state which sign the parent mahadasha sequence starts from, nor that the parent Chara mahadasha must be resolved first.

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 body fields are already documented and the baseline is 3. The description adds one genuinely new parameter fact: `targetDate` defaults to today UTC, which the schema does not state. It adds nothing further about targetTime or targetTzOffset, which the schema leaves thin.

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 names a specific dasha level and resource ('Chara Antardasha: 12 sub-periods of the running Mahadasha'), so the agent knows exactly what is being computed. It does not, however, distinguish this level from the sibling levels chara_pratyantar, chara_prana and chara_sookshma, leaving the agent to rely on the tool name to know which sub-division depth it gets.

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 level named (fetch antardashas for a Chara mahadasha) and by the `targetDate` framing, but there is no explicit when-to-use statement and no mention of the alternative dasha-level tools or the sibling dasha systems. Nothing tells the agent when antar is the right depth versus pratyantar or sookshma.

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 readOnly/idempotent/non-destructive/closed-world, so the safety profile is covered. The description then adds genuine algorithmic transparency beyond annotations: duration-direction rules by sign type, the inclusive-count-minus-one timing formula, the own-sign = 12 years case, and the co-lord tie-break for Scorpio and Aquarius. It omits operational context such as the 20-credit Tier 2 cost, but the computational behavior disclosed is unusually rich.

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?

It is front-loaded with what the tool computes, but a large share of the text is implementation minutiae — the per-sign duration formula and the Scorpio/Aquarius co-lord tie-break — that helps confirm output semantics but not selection or invocation. For a tool whose schema already covers inputs, this is heavier than needed.

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?

An output schema exists, so return values need not be explained, and the description is complete enough for the agent to understand what the tool computes and how the periods are derived. Its remaining gap is relational: it does not place itself in the 70-plus sibling dasha hierarchy or explain when the positional 'Maha' level is the right depth.

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 birth-data fields, timezone handling, fields and precision are already documented in the schema. The description adds no parameter-level meaning — it never mentions the body fields, the compact-mode fields/precision controls, or the targetDate/targetTime fields present in the schema. Baseline 3 applies when the schema carries the load.

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

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

The description states a precise verb+resource: computing Chara Dasha Mahadashas (Jaimini rasi-dasha, lord = sign rather than planet), and it pins the level with '12 Mahadashas of variable duration starting at lagna sign.' It never explicitly distinguishes itself from the sibling Chara sub-period tools (antar/pratyantar/sookshma/prana), so the agent must infer level from the name alone.

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?

No when-to-use guidance is given: nothing says when Chara Dasha is preferred over Vimshottari, Yogini, Ashtottari or the other dasha systems in the sibling list, and no alternative is named. The 'Default variant = K.N.' note implies a selectable variant but doesn't tell the agent what the options are or when they matter.

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, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful non-schema context — the endpoint and the 20-credit Tier 2 cost — but says nothing about auth requirements, rate limits, or how the 5-level cascade is returned.

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 tight fragments with the domain-defining qualifier ('finest grain') front-loaded, followed by machine-readable group/endpoint/cost metadata. Every element earns its place, though the telegraphic style sacrifices some explanatory value 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?

An output schema exists and the input schema is fully documented, so return values and parameters need not be restated. The description supplies the one thing structured data cannot — the domain placement of 'prana' within the Chara level hierarchy and its minute-scale resolution — but omits selection guidance against the four sibling levels, which is the main remaining 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%, so the body fields (date, time, latitude, longitude, timezone handling, fields, precision) are already fully documented in the schema, and the description adds no parameter meaning beyond that. Baseline 3 is appropriate when the schema carries the entire parameter burden.

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 names the specific system and level ('Chara Pranadasha') and, critically, places it as the 'finest grain' of a '5-level cascade', which is exactly the distinction an agent needs against siblings like chara_maha, chara_antar, chara_pratyantar and chara_sookshma. It stops short of stating the compute/return verb explicitly, but the resource and its position in the family are unambiguous.

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

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

There is no explicit when-to-use or when-not-to-use guidance and no routing to alternatives such as chara_sookshma when a coarser grain suffices. 'Finest grain' and 'minute-scale duration' imply the deepest-resolution use case, but the agent must infer that selecting this tool versus the four shallower Chara levels depends on desired time resolution.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds genuinely new behavioral context: the cost ('20 credits, Tier 2'), the endpoint, and the recursion rule ('equal-share subdivision; same direction at every depth'), which tells the agent how the periods are derived.

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

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

Front-loaded with the core semantics in the first clause, then structured metadata lines. No filler sentences; every element earns its place.

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

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

An output schema exists, so return values need no explanation, and the algorithm/cost metadata is present. The gap is decision support: for a tool surrounded by ~80 Vedic siblings at four different dasha depths, the absence of any routing guidance leaves the agent to infer selection from the name alone.

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 birth data, fields and precision thoroughly. The description supplies no additional parameter meaning, 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 computation: 'Chara Pratyantardasha: 3-level cascade (MD → AD → 12 PDs)', which pins down the dasha level and its subdivision structure. It distinguishes itself from the maha/antar/prana/sookshma variants only implicitly via the level name; there is no explicit routing statement, but the resource is unambiguous.

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?

No when-to-use, when-not-to-use, or sibling routing. Given siblings like chara_antar, chara_prana and chara_sookshma sit at adjacent levels, the description should say which level the agent wants, but it does not. Only the implicit '12 PDs' wording hints at scope.

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 and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful non-annotation context — the endpoint, the Vedic group, and the cost (20 credits, Tier 2) — but says nothing about output shape or what the cascade contains. With annotations carrying the safety burden, a 3 is fair.

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?

Very short and front-loaded, but the content is metadata tags (group, endpoint, cost) rather than explanatory prose. Nothing is padded, yet little of it earns its place beyond the cost line.

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 niche Vedic dasha endpoint surrounded by dozens of near-identical siblings, the description does not explain what Chara Dasha is, what the 4-level cascade returns, or how it relates to the other levels. An output schema exists so return values needn't be described, but the tool-selection context is essentially absent.

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 body schema is exhaustively documented (timezone handling, houseSystem letters, ayanamsa, target date fields), so the schema does all parameter work. The description adds nothing beyond the schema, which yields the baseline 3.

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

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

The description largely restates the title/name; its only added content is '4-level cascade', which hints at the depth of the dasha subdivision but never states a verb, what is computed, or what distinguishes it from the sibling chara_maha/antar/pratyantar/prana tools. An agent cannot tell which cascade level this is without decoding the naming convention.

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

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

There is no guidance on when to use this tool versus the ~60 sibling dasha tools, including the four other Chara levels (maha, antar, pratyantar, prana). No conditions, no prerequisites, no alternatives named.

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

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds real value beyond that: cost (20 credits, Tier 2), the endpoint, the default-to-today behavior, and the period-length formula. Cost and default semantics are things annotations cannot express.

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 dense sentences plus metadata tags; the resource and depth are front-loaded and nothing is wasted. The formula is arguably jargon but it earns its place by clarifying the antardasha computation.

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?

Output schema exists, so return values need no explanation. The description supplies cost, endpoint, default date behavior, and result count (9 sub-periods). The only gap is an explicit pointer to the sibling depth levels for choosing this 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 description coverage is 100%, so the schema already documents the nested birth body, fields, and precision parameters. The description only adds the `targetDate` default (today UTC) and the internal formula, so the baseline 3 is appropriate rather than a higher score.

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

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

States a specific verb+resource: 'Kalachakra Antardasha: 9 sub-periods of the running MD at targetDate'. The depth level (sub-periods of the running MD) implicitly distinguishes it from the maha/pratyantar/prana/sookshma siblings, though it never names them. Clear but not explicitly differentiated from siblings.

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

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

Implies usage via 'at `targetDate` (default today UTC)', giving a default when the agent omits the date. But there is no explicit guidance on when to choose antardasha over the neighbouring depth levels (maha, pratyantar, prana, sookshma), which is the key decision an agent faces with ~70 siblings.

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 readOnly/idempotent/non-destructive, so the bar is lower, and the description adds real domain behavior: Savya/Apasavya direction from nakshatra group, paramayu varying 100/85/83/86 years per pada, and truncation of the first Mahadasha by the elapsed pada fraction. These are non-obvious traits an agent could not derive from structured fields.

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

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

Front-loaded with the defining clause, then the mechanics, then the return shape, in one tight paragraph with no filler. Slightly dense/run-on with parenthetical jargon, but every sentence carries 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 needn't enumerate return fields, but it still states what is returned (9 Mahadashas of the running cycle, first truncated). For a read-only Tier-2 computation tool this is close to complete; only explicit sibling routing is missing.

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

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

Schema description coverage is 100% and the nested birth-data schema already documents date/time/latitude/longitude, timezone handling, and the fields precision compact-mode parameter. The description adds no parameter-level guidance, so the baseline 3 applies.

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

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

States a specific verb/resource and scope: 'Kalachakra Dasha ... Returns the 9 Mahadashas of the running cycle from birth'. It also disambiguates from the sibling Kalachakra tools (antar/pratyantar/prana/sookshma) by naming the Mahadasha level and from other dasha systems by defining the rasi-dasha rule that lords are signs, not planets.

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 use case (getting Mahadasha-level Kalachakra periods) but never says when to prefer this tool over astroway_vedic_dashas_kalachakra_antar or the other dasha families, nor does it state prerequisites beyond the birth data. Usage is inferable from the name and content, not stated.

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 cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds genuinely useful behavioral context absent from annotations: cost (20 credits, Tier 2), the POST endpoint, and the tool group. It does not describe response shape, but an output schema exists to carry that.

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

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

Front-loaded with the essential depth characterization, followed by compact structured metadata lines for group, endpoint, and cost. No filler sentences; the only mild redundancy is restating the tool name in the opening line.

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 a rich input schema, an output schema, and full annotation coverage, the definition supplies what the structured fields cannot: cost tier and endpoint. The remaining gap is domain guidance on what distinguishes prana-level output from the other Kalachakra depths, which would help an agent choose 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 description coverage is 100% and the body schema already documents birth data, timezone handling, and the fields/precision compact-mode parameters in detail. The description adds no parameter meaning 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?

The description names the specific dasha system (Kalachakra), the level (Pranadasha), and characterizes its depth as a '5-level cascade (finest grain, minutes-scale at full depth).' That lets an agent place it against sibling levels like kalachakra_sookshma or kalachakra_maha, though it never names those siblings directly.

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

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

Usage is only implied: 'finest grain, minutes-scale at full depth' suggests reaching for this when minute-level timing is needed, but there is no explicit when-to-use statement and no routing to the coarser kalachakra levels (maha/antar/pratyantar/sookshma) that share this family.

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 readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuine behavioral context beyond them — the recursion preserves the natal chakra-row and paramayu, and the call costs 20 credits (Tier 2) — but says nothing about how many periods are returned, whether the whole lifetime is enumerated, or whether a target date filters the output.

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 front-loaded sentences plus a compact metadata block; every element is load-bearing and nothing is padded. It is arguably too terse for the domain, but there is no wasted wording.

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 tool nested in a family of ~60 dasha endpoints, the level definition and recursion note are the essential differentiators and the output schema covers return values. However, nothing explains what paramayu means to a caller, how this level relates to the antar/prana/sookshma siblings, or what the target-date fields do, leaving gaps an agent must guess at.

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 carries the parameter semantics (birth data, ayanamsa, timezone handling, compact-mode fields/precision) and the description adds nothing to them, which sets the baseline at 3. Notably the description does not touch the targetDate/targetTime window at all, but with full schema coverage that omission is not penalized heavily.

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 the specific dasha level (Kalachakra Pratyantardasha) and defines its depth as a 3-level cascade MD → AD → 9 PDs, which implicitly separates it from the kalachakra_antar (MD→AD) and kalachakra_prana (deeper) siblings. It stops short of explicitly naming or contrasting those siblings, so an agent must infer the ordering from the shared naming convention.

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?

No when-to-use, when-not-to-use, or alternative routing is given. The cascade notation hints at the level of granularity but never states a condition such as 'use when the question concerns sub-sub-periods rather than Mahadasha-level timing', and no prerequisites (e.g. that a target date drives the period list) are mentioned.

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 and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful non-schema facts: the endpoint and a 20-credit Tier 2 cost, which matters for budgeting. It says nothing about the computed output's nature or depth, so it is adequate rather than rich.

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?

Four short lines, front-loaded with the technique name and the cascade depth, then bracketed metadata. Nothing is padded, though the body is closer to a label than a description.

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?

An output schema exists, so return values need not be explained, and the schema carries the full input contract. However, for a niche nested dasha in a family of roughly sixty dasha siblings, an agent gets no help on what '4-level cascade' yields or how sookshma differs in granularity, leaving the routing decision underspecified.

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 birth-data block documents date/time/latitude/longitude, timezone handling, ayanamsa and houseSystem in detail, plus the fields and precision compaction params. The description adds no parameter meaning at all, so the baseline 3 for a fully documented schema 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 the specific technique (Kalachakra Sookshmadasha) and its shape (4-level cascade), which distinguishes it from the Kalachakra maha/antar/pratyantar/prana siblings and from other dasha families. It stops short of an explicit verb or of stating what the tool returns, so it is clear but not fully self-routing.

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

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

There is no statement of when to pick sookshma over prana or pratyantar, no prerequisites, and no named alternative. The agent must infer the usage tier purely from the name suffix.

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 readOnly/idempotent/non-destructive, so safety is covered. The description adds genuinely new behavioral facts: the recursive proportional split formula (parent_years × sub_planet_period / 100), the cost (20 credits, Tier 2) and the endpoint. It stops short of describing failure modes when no MD is running at targetDate.

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 plus bracketed metadata lines; the definition and formula come first, routing/cost metadata after. Nothing is padded, though the formula sentence is of marginal use to an agent selecting the tool.

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?

An output schema exists so return values need no explanation, and annotations cover the safety profile. Cost, endpoint and level semantics are present; the remaining gap is disambiguation from the four sibling Shatabdika levels and the other dasha systems sharing this naming pattern.

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 birth-data body, fields and precision are already documented. The description does add meaning for targetDate, which is otherwise an undocumented pattern-only property, by stating it selects the running mahadasha — but it says nothing about targetTime or targetTzOffset.

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

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

States a specific verb/resource: the Shatabdika antardasha sub-periods of the currently running mahadasha, plus the count (7) and the selecting input (targetDate). This implicitly separates it from the _maha level and from deeper levels, though it never names pratyantar/prana/sookshma siblings explicitly.

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

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

The only usage signal is 'at targetDate', which implies a date is required but gives no guidance on when to pick this level over _maha, _pratyantar, _prana or _sookshma, nor on the prerequisite that a running mahadasha must exist. No alternatives are named.

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

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description usefully adds the credit cost (Tier 2, 20 credits), the deterministic algorithm source (PyJHora sataatbika.py port) and structural rules of the cycle, but says nothing about what the response looks like or lineage of the returned periods.

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?

Purpose is front-loaded in the first clause, followed by compact supporting detail (planet sequence, distribution) and metadata tags. The planet/period chain is dense but each element carries real information; there is little waste.

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?

Output schema exists so return values need not be described, and parameters are fully documented in the schema. The description covers the algorithm and cost adequately; its only real gap is not stating that this is the mahadasha (top) level of the hierarchy relative to its siblings.

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 the birth-data body, fields compact mode and precision. The description adds no parameter-level meaning at all, 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 subject: the Shatabdika 100-year nakshatra dasha cycle, with planet sequence, seed nakshatra and distribution rule. It clearly identifies the dasha system, but never explicitly says this tool returns the mahadasha-level periods (as opposed to the antar/pratyantar/prana/sookshma siblings in the same family), so sibling differentiation is left implicit in the name.

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?

No guidance on when to call this versus the four other shatabdika sibling tools (antar, pratyantar, prana, sookshma), nor any statement of prerequisites such as needing birth data. The reader is left to infer the level of the dasha hierarchy from the tool name alone.

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