Tazilo
Server Details
Verified professional profiles from tazilo.ai/@handle links: experience, leadership, skills.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools have mostly distinct purposes: get_profile retrieves a full verified profile, while ask answers a targeted factual question. There is some overlap because ask draws from the same published profile data, so an agent might sometimes choose either for a simple fact.
Both names start with verbs, but the conventions are mixed: 'ask' is a bare verb while 'get_profile' follows a verb_noun pattern. The set is still readable, but it does not establish a predictable naming scheme.
Two tools is thin but defensible for a narrow profile-lookup server focused on retrieval and Q&A. It borders on under-scoped because there is no discovery or search tool.
The read-oriented surface covers the core domain: fetching a profile and asking a factual question from published data. Minor gaps exist around discovery by name or broader search, but the stated URL/handle lookup workflow is covered.
Available Tools
2 toolsaskAsk about a Tazilo profileARead-onlyInspect
Ask one short factual question about a person's professional background - e.g. their leadership experience, a launch they shipped or the tools they use - by Tazilo profile URL or handle. Answers come only from what they published.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | The person's Tazilo profile URL or handle: 'https://tazilo.ai/@sathishgs', 'tazilo.ai/@sathishgs', '@sathishgs' or 'sathishgs'. | |
| question | Yes | One short factual question about their professional background (max 300 characters). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful grounding behavior: answers are constrained to what the person published, telling the agent to expect possible non-answers instead of inference. Failure behavior for an unknown handle is still unstated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with the action, the subject, and the input key in order, followed by a short grounding clause. Every element earns its place; no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter read tool with no output schema, the description covers what the agent supplies and what the answer is based on. The remaining gap is what happens when the profile lacks the answer or the handle is invalid.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, with both handle formats and the question length already documented in the schema. The description restates the handle and question intent plus topical examples but adds no format or syntax 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 + resource ("ask one short factual question about a person's professional background") and names the lookup key (Tazilo profile URL or handle). It only implicitly separates itself from get_profile via the narrow "one short factual question" scope, rather than calling out the sibling.
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 concrete usage context: one short factual question, examples of acceptable topics (leadership, launches, tools), and a source restriction. It does not explicitly say when to prefer get_profile over ask, so exclusions are absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_profileGet a Tazilo profileARead-onlyInspect
Get a person's verified professional profile - headline, summary, employment history with highlights, skills and education - from their Tazilo profile URL or handle. Returns markdown.
| Name | Required | Description | Default |
|---|---|---|---|
| handle | Yes | The person's Tazilo profile URL or handle: 'https://tazilo.ai/@sathishgs', 'tazilo.ai/@sathishgs', '@sathishgs' or 'sathishgs'. | |
| sections | No | Only these sections. Omit for the whole profile. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the return format ('Returns markdown'), which is genuinely useful since there is no output schema, but says nothing about behavior when the profile is missing, private, or when a single section is unavailable.
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 tight sentences: what is retrieved first, then the input source, then the return format. No boilerplate and nothing that could be cut without losing 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?
For a two-parameter read tool with annotations covering safety, the description plus schema give an agent everything needed to invoke it, and it correctly notes the markdown return format in the absence of an output schema. Only error/edge-case behavior for unknown or restricted handles 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 coverage is 100% and the 'handle' description already spells out the four accepted URL/handle forms with examples, so the description's mention of 'URL or handle' is redundant. The 'sections' parameter is not mentioned at all in the description, though the schema documents it adequately.
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 ('Get a person's verified professional profile') and enumerates the content returned (headline, summary, employment history, skills, education), which is far more than the title provides. It does not differentiate from the sibling 'ask', but the sibling name alone is uninformative, so differentiation is not really achievable here.
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 input ('from their Tazilo profile URL or handle') but there is no explicit when-to-use guidance, no mention of when a user should call 'ask' instead, and no statement about failure modes such as a nonexistent handle.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
get_profile2 fields changed- changed
Input schema / properties / sections / items / enumPrevious value: -[ - "summary", - "experience", - "skills", - "education" -]New value: +[ + "summary", + "experience", + "skills", + "education", + "context" +] - changed
Input schema / properties / sections / maxItemsPrevious value: -4New value: +5
2 tool updates
- First observed
ask - First observed
get_profile
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